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          Big Data In Healthcare Market Research with Industry Segments, Key Players, Trends, Analysis, Overview, Growth, Demand, Industry Analysis, Development Trends Research 2023      Cache   Translate Page      
Big Data In Healthcare Market Research with Industry Segments, Key Players, Trends, Analysis, Overview, Growth, Demand, Industry Analysis, Development Trends Research 2023 The Global Big Data in Healthcare Market is gaining pace and businesses have started understanding the benefits of analytics in the present day highly dynamic business environment. The Big Data Analytics in the healthcare sector is estimated to grow over

          Software Development Engineer - Amazon.com - Seattle, WA      Cache   Translate Page      
Extensive, varied internal and external customer base. Knowledge of statistical analysis, big data, machine learning....
From Amazon.com - Sat, 23 Jun 2018 14:22:29 GMT - View all Seattle, WA jobs
          SAP and Supply Chain      Cache   Translate Page      
Earlier we worked with SAP for optimizing the manufacturing supply chain.  Some elements of automatic augmentation based on predictions.

SAP introduces intelligent capabilities for digital supply chain

CHICAGO, Sept. 10, 2018 /PRNewswire/ -- SAP SE (NYSE : SAP ) today announced new features to digitally optimize the supply chain and infuse it with intelligence from product design and production to delivery, operations and service. With the integration of SAP S/4HANA® to digital supply chain solutions from SAP, companies can gain new insights, make predictions and instantly adapt in an agile supply chain that extends to customers and supplier networks. The announcement was made at IMTS USA, being held Sept. 10–15 in Chicago, Illinois.

SAP's leading presence and innovation in supply chain management continues to help companies around the world embrace Industry 4.0 technologies including the Internet of Things (IoT), Big Data, and machine learning–enabled automation. The latest solution updates enable an integrated supply chain and manufacturing environment with enhanced capabilities for production planning and scheduling, availability and fulfillment, compliance, health and safety, and production engineering and operations.

"Intelligent technologies help businesses make better sense of data, plan and predict outcomes, and optimize the entire product lifecycle including the customer experience," said Hala Zeine, president, Digital Supply Chain and Manufacturing, SAP. "SAP helps companies embrace smarter business based on data-driven insights to run supply chains with greater insight, speed and purpose."

Highlights of the new capabilities include:

Support for highly engineered products — consolidated operations including bill of materials, intelligent process planning, shop floor execution and integrated system testing. Production engineering and operations can be synchronized across manufacturing execution for complex assembly and low-volume operations, such as in aerospace and defense, which traditionally required manual processing.

3D visualization and production — providing visualization from design through production to service and maintenance, and supporting the network of digital twins. Core business processing is combined with complete product lifecycle management to support decision-making, production and maintenance operations, and 3D printing of components. .... "


          Senior Analyst, Product Implementation      Cache   Translate Page      
CA-Irvine, Smart Energy Water is seeking a technologically astute, highly energetic and customer focused lead to join our team as a Senior Analyst for our Product Implementation Team. Smart Energy Water is a leading Software-as-a-Service (SaaS) platform for Customer Engagement, Mobile Workforce and Big Data Analytics for the Energy and Utility sector. Energy and water utilities improve their customer service
          WIONGO: el Big Data aplicado a la red wifi más grande de Europa      Cache   Translate Page      

La firma WIONGO es la instaladora, gestora y explotadora de la Red Smart Wi-Fi gratuita Municipal más grande de Europa, la instalada en la Ciudad de Palma (Mallorca), así como de otras Redes Wi-Fi referentes a nivel Nacional como la de Playa de Palma, Puertos de Baleares y Benidorm. Esta compañía local mallorquina ha conseguido […]

The post WIONGO: el Big Data aplicado a la red wifi más grande de Europa appeared first on SmartTravelNews.


          Big Data Engineer      Cache   Translate Page      
GA-Atlanta, Big Data Engineer Design solutions to drive safe living and quality of life Honeywell Connected Homes is looking for a Big Data Engineer to join the team. Join a smart, highly skilled team with a passion for technology, where you will work on design and development of our state of the art Big Data Platform. You will be an active and integral member of the Data Platform team, enhancing customer exp
          Senior Big Data Engineer, w/Hbase expertise      Cache   Translate Page      
VA-Reston, JOB DESCRIPTION Background: The Senior Big Data Engineer is an experienced technical software development professional who can design and develop complex solutions within our Cloudera clusters. This person must be able to support the integration of Big Data technologies into our mainstream data solutions from architecture through implementation. Tasks: Candidate will support the design, developmen
          CW Data Architect (99T245) (657294)      Cache   Translate Page      
TX-Plano, Reference # : 18-00770 Title : CW Data Architect (99T245) (657294) Location : Plano, TX Experience Level : Start Date / End Date : 10/01/2018 / 03/03/2019 Description Description: The primary responsibility of this role is Data Architecture technology to create standards reusable architectures, patterns and practices, for both on premise, Cloud, Big Data, and traditional RDBMS data environments an
          Research Scientist, Industrial AI      Cache   Translate Page      
CA-Santa Clara, Company: Hitachi America, Ltd. Division: R&D/Big Data Lab Location: Santa Clara, CA Status: Regular, Full-Time Summary Hitachi America, Ltd. (http://www.hitachi-america.us/) has openings for Research Scientists in the Big Data Laboratory located in Silicon Valley. The mission of this laboratory is to help create new and innovative solutions in big data and advanced analytics. The laboratory focuse
          Principal Program Manager - Microsoft - Redmond, WA      Cache   Translate Page      
Our internal customers use machine learning models to analyze multi-exabyte datasets. The Big Data team builds solutions that enable customers to tackle...
From Microsoft - Sat, 28 Jul 2018 02:13:20 GMT - View all Redmond, WA jobs
          Software Development Manager - Core Video Delivery Technologies, Prime Video - Amazon.com - Seattle, WA      Cache   Translate Page      
Strong business and technical vision. Experience in machine learning technologies and big data is a plus. We leverage Amazon Web Services (AWS) technologies...
From Amazon.com - Thu, 02 Aug 2018 19:21:25 GMT - View all Seattle, WA jobs
          Solutions Architect - Amazon Web Services - Amazon.com - San Francisco, CA      Cache   Translate Page      
DevOps, Big Data, Machine Learning, Serverless computing etc. High level of comfort communicating effectively across internal and external organizations....
From Amazon.com - Sun, 02 Sep 2018 07:30:50 GMT - View all San Francisco, CA jobs
          Sr. Solutions Architect - AWS - Amazon.com - San Francisco, CA      Cache   Translate Page      
DevOps, Big Data, Machine Learning, Serverless computing etc. High level of comfort communicating effectively across internal and external organizations....
From Amazon.com - Fri, 25 May 2018 19:20:02 GMT - View all San Francisco, CA jobs
          Big data Developer - Axius Technologies - Milwaukee, WI      Cache   Translate Page      
Axius Technologies was started in the year 2007 and has grown at a rapid rate of 200% year on year. Big data developer with hands-on experience designing and...
From Axius Technologies - Fri, 31 Aug 2018 03:29:56 GMT - View all Milwaukee, WI jobs
          Big Data Lead / Architect with ETL Background - Axius Technologies - Seattle, WA      Cache   Translate Page      
Axius Technologies was started in the year 2007 and has grown at a rapid rate of 200% year on year. "Atleast 10+ years of IT experience....
From Axius Technologies - Wed, 01 Aug 2018 11:30:47 GMT - View all Seattle, WA jobs
           - dmexco: Ausblicke in die digitale Zukunft      Cache   Translate Page      
Big Data, Künstliche Intelligenz und digital gestaltete alternative Realitäten beschäftigen Macher und Besucher der Digitalmesse dmexco. Wichtig ist da vor allem die Verzahnung von Netz und Welt – zum Beispiel im Verkauf, wo E-Commerce und stationärer Handel zusammenfinden müssen.
          Zoox Smart Data lança novo software na Equipotel 2018      Cache   Translate Page      
A Zoox Smart Data, empresa de alta tecnologia pioneira na aplicação de soluções integradas de inteligência artificial, machine learning e big data, anuncia o lançamento do Zoox Smart Pass, software que integra big data e reconhecimento facial, na Equipotel deste ano, que acontece de 18 a 21 de setembro, no São Paulo Expo, em São […]
          SCE Brings New Vision of Digital Economy.      Cache   Translate Page      


Industry leaders attending the first Smart China Expo (SCE 2018) in China’s western city of Chongqing have articulated a new vision for how the world’s digital economy will evolve at the event’s Global Digital Economy Summit, a forum that brought together 650 participants under the theme “New Digital Economy, New Growth Engine.” Speakers projected a future in which Big Data reshapes the way businesses and governments operate, cooperate, and compete. New forces being unleashed by current innovations threaten to disrupt the existing economic growth models of many industries, as digital information will rise to the same status as land and capital as a key element of productivity. Meanwhile, governments around the world are building “smart infrastructure” as they seek to use technology to upgrade power grids, railways, ports and toll roads, and seek to integrate everything. Big Data technology also helps build “smart cities,” boost consumption, and improve social welfare programs ranging from education to philanthropy to healthcare. To view the multimedia release go to: https://www.multivu.com/players/English/8389751-smart-china-expo-sce-2018/

Watch HERE

Added by: MultiVuVideos
Tags:  economy  digital  china  expo  tech  technology  businesses  governments  multivu  8389751
Date: 2018-09-10




          Are Your Phone Apps Secretly Monetizing You?      Cache   Translate Page      
There’s a strong chance that your phone apps are secretly monetizing you. In fact, dozens of popular iPhone apps are quietly selling information about you to big businesses in the data mining industry. Apps are constantly sending precise locations and other data about users to Big Data, Guardian App project researchers have discovered. The apps ... The post Are Your Phone Apps Secretly Monetizing You? appeared first on Off The Grid News.
          Data Platform Engineer (Big Data) - Rubikloud Technologies - Toronto, ON      Cache   Translate Page      
Over the past three years, we have been able to connect with over 150,000 retail point of sales location in 10 countries and create a database of over $100...
From Rubikloud Technologies - Tue, 10 Jul 2018 23:31:29 GMT - View all Toronto, ON jobs
          Software Project Manager by Datavlt      Cache   Translate Page      
DEPT: Technical Operations Role Description Reporting to Head of IT, key areas of responsibilities include but are not limited to: • Ensure successful delivery of project scope and targets while managing project risk, quality, delivery, scope, schedule and budget. • Partner with internal and external stakeholders to establish clear project deliverables and milestones. • Drive the project team members in the design, development and delivery of Research and Development solutions. • Track, monitor and report the project progress to all stakeholders. • Implement and manage project changes and interventions to achieve deliverables and mitigate risk. • Establish project lifecycle management procedures and best practices to ensure successful completion of projects. • Guiding the team on how to use Agile/Scrum practices and values to delight stakeholders and fill in the Agile/Scrum frameworks. • Understand the IT management policy, quality management policy and security guidelines to ensure the development processes, procedures and system are designed to comply with these policies and guidelines. Requirements • Degree in Computer Science or Engineering with PMP certification and equivalent. • Min 2 – 3 years of working experiences in the related field as well as project management experiences. • Experience in playing the Scrum Master role for a minimum of one year for a software development team that was diligently applying Scrum principles, practices and theory. • Candidate should also have strong analytical and problem-solving skills, as well as good understanding of different data structures and algorithms for Big Data/AI solutions.
          Distributor Account Manager at CISCO      Cache   Translate Page      
Cisco - The Internet of Everything is a phenomenon driving new opportunities for Cisco and it's transforming our customers' businesses worldwide. We are pioneers and have been since the early days of connectivity. Today, we are building teams that are expanding our technology solutions in the mobile, cloud, security, IT, and big data spaces, including software and consulting services. As Cisco delivers the network that powers the Internet, we are connecting the unconnected. Imagine creating unprecedented disruption. Your revolutionary ideas will impact everything from retail, healthcare, and entertainment, to public and private sectors, and far beyond. Collaborate with like-minded innovators in a fun and flexible culture that has earned Cisco global recognition as a Great Place To Work. With roughly 10 billion connected things in the world now and over 50 billion estimated in the future, your career has exponential possibilities at Cisco.Job Id: 1241678 Location: Lagos, Nigeria Area of Interest: Engineer Pre Sales and Product Management Job Type: Professional Job Descriptions The DAM would be the strategic lead to expand the business with our distributors in West Africa Manage the recruitment, activation and growth of Select and registered partners Drive distributor enablement for DAP reseller base with reponsibility for transparent and measurable investment of Marketing and enablement fund swith strong integration of Cisco Partner programs Closely align with commercial sales teams to ensure correct lead routing, follow up for distribution partner generated leads.
          NZD/USD: bulls capped on huge rally towards 10-D SMA      Cache   Translate Page      
  • NZD/USD is currently trading at 0.6563 from a low of 0.6502 and a high of 0.6565.
  • NZD/USD has been able to track the Aussie and CAD higher on the back of improved risk sentiment following the NAFTA progress and potential talks between the US and China on the cards. 

The Wall Street Journal printed an article that read,

"The Trump administration is reaching out to China for a new high-level round of trade talks, in an effort to give Beijing another opportunity to address U.S. concerns before it imposes new tariffs on Chinese imports, said people briefed on the matter".

While that has been welcomed by the markets and used as a green light to sell the greenback, the downside ran out of steam. The DXY dropped to 94.74 from 95.28 but recovered back to 94.86 for the close in NY. Looking around, whoever, the market is not prepared to give the dollar back much ground. Another pair that grabbed the market's attention was USD/CAD. That dropped below the 1.30 level and has struggled to find territory back above the level with bears looking for a test to 1.2950 - WTI bulls turned up to the party which has kept a lid on bullish attempts so far - WTI trades at $70.03 at the time of writing, down from $80.89 highs but up from the mid $67 handle due to storms in the Gulf of Mexico, Iran, production and EIA data. 

Aussie steals the show

However, what really stole the show was the Aussie. The US 10-yrs were backing away from the 3% mark which was a catalyst for the greenback's downside but given the proxy that Aussie is to China and emerging market-FX, what with a sharp rally in the Lira and CNH, AUD/USD made a high of  0.7182. AUD/USD closed at 0.7166 and crept lower into early Asia to 0.7162 - still up for the lows of 0.7085 (lowest since Feb 2016).  However, bulls are not out of the woods yet, for either the Kiwi nor the Aussie - CAD can keep going so long as oil stays firm and NAFTA progresses fast before the month is out towards a deal. Today we have Aussie jobs data and tomorrow we have US CPI - big data movers. 

Aussie jobs next major catalyst in commodity-FX

For the Aussie jobs, market is looking for 15.0K new jobs added in August after losing 3.9K  in July. The unemployment rate is expected to remain unchanged at 5.3%, despite the participation rate is foreseen rising to 65.6%. As usual, the key will be on full-time employment, which could be disappointing according to seasonal stats, as August tends to be a weak month for employment.

AUD/USD levels

Valeria Bednarik, chief analyst at FXStreet explained that in the short-term, and according to the 4 hours chart, the risk is skewed to the upside, as the pair broke above its 20 SMA, now over 40 pips below the current level, while technical indicators head higher well above their midlines, with uneven strength:

"In the mentioned chart, the 100 and 200 SMA maintain strong bearish slopes above the current level, suggesting that the ongoing advance could end up being just a correction."


          一个10年陈酿的安全管理员:终端安全运营的实践和思考      Cache   Translate Page      
前言 经过几次北门例行碰(扯)头(淡)会的头脑风暴,我们决定做一些经验交流的内容,主要梳理安全运营中的难点和痛点,争取寻找几个容易引起共鸣的子题目,用适合的案例介绍我方团队如何摸索和实践安全运营。 现在国内众多安全会议,各种高大上的概念模型,日新月异的新鲜词汇,真正落地时,就连最基本的终端防护是否能做好都要打上问号。近期台积电病毒事件爆发,直接造成78亿新台币损失,究其原因竟然是一个一年前已经发布的补丁。看似基础运营层面的纰漏恰恰反应出安全团队本身在风险评估和体系落地上的缺位。九层之台,起于垒土,地基打好了,楼才能盖高,否则工具再多也是浪费。 我叫欧阳昕,是一个10年陈酿的安全管理员,趟过坑,扛过雷。从去年开始,团队对单位10多万终端安全防护进行了功能梳理、整合和优化。项目建设和后期的运营工作比例约为3:7。以下将结合项目经验,采用问题场景复盘的模式,探讨政府单位或大型企业内部终端的安全运营实践。 正文 开篇先简单介绍一下终端安全的发展历程。终端安全是信息安全的一个细分领域,出现时间较早,基本上伴随着信息安全概念的出现便随之应运而生。在过去一段很长的时间里,国内的防病毒就等于终端安全,终端安全就等于信息安全。毕竟在信息技术发展的早期,网络攻击和黑客技术还没有像现在一样日新月异,大型分布式应用系统还没有广泛使用并提供社会服务,各类威胁、漏洞还没有引起从业者的广泛重视……以现在的标准衡量,那时候仅仅是刚解决了互联互通的“温饱问题”,基于这种“自然条件”的约束,黑客们的工具和手段比较原始,能做的坏事比较有限,病毒成为最直接有效的“凶器”。后来,随着技术的不断进步,终端安全威胁的边界逐步扩展,终端安全管理的方法论也逐渐成熟,在一个由海量终端组成的大型内部网络中,终端安全一般被定义成以下几个方面的工作:防病毒、补丁分发、桌面管控、网络准入以及行为监测和取证。最后,随着近几年ABC(AI,Big Data,Cloud)技术的迅猛发展,终端安全的受众范围又发生了一定的变化,从单一的计算机终端分化成办公环境的终端领域,服务器终端以及新一代的移动终端等三小类。本文将重点结合实践经验,介绍企业内网中计算机终端的安全运营实践。 探讨分三部分,包括准备篇、实践篇和展望篇。 第一部分准备篇:从运维到运营的角色转变是提升终端安全防护能力的先决条件 各位读者,如果身处这个行业,又从事甲方工作,可以先在脑海中思考几个问题:自己每天的工作内容是什么?是否亲历过影响范围波及网内80%以上终端的安全事件?有没有因为产品功能的问题怼过乙方?会不会觉得手上一直没有合适的工具或工具集去解决复杂的终端安全问题?有没有感觉到工作内容和工作职责的不匹配? 以上问题,折射出一个安全团队从运维到运营职责的转变轨迹。随着问题的陆续爆发,运维的同学会逐渐感觉到挫败和沮丧,因为似乎自己没日没夜的加班也不能消除问题的发生,反而逐渐在不断“跳坑–爬坑”的循环中迷失。我尝试解答这个问题:甲方安全团队,其本质上与一般的IT运维团队是不同的。 首先看看运维工作的定义:一般指对所负责系统的软、硬件资源优化、维护和告警处置,以确保系统提供服务过程中更好的发挥价值。对比一下安全团队的职责,他们的定位首先是系统的使用者,依据企业战略、总体规划、业务需要以及各类合规性文件,制定安全管理目标、发布安全管理要求、规划安全基础设施建设的技术路线,并以管理者和业主的身份,参与系统的建设,接管系统的使用,最终期望借此推动管理要求的落地,促进安全防护水平的提升。 显而易见,安全运营团队与传统IT运维团队的最大区别,是工作角色的差异,团队成员不但要承担系统日常巡检、策略配置和告警处置等运维层面的工作;还要作为业主方,依靠安全系统和技术手段,通盘考虑整体运行态势并作出决策性调整,以实现业务增值和管理效能的提升。概括起来就是从“我要怎么做”进化到“为了做什么我要怎么做”。因此,还在坑里的同学们应该意识到,您的工作职责显然不能仅局限于系统运维了,而是要更加关注所运维系统自身的价值和服务能力。可以说,甲方安全团队在成立之初就已经生成了运营的基因,无从选择,尽早完成思维模式的转变是做好终端安全管理的先决条件。 第二部分实践篇 如果您看到这里,说明至少对运营的概念有一定程度的接受。接下来,可以聊一些具体的案例,看看运营工作的痛点。 老生常谈的全生命周期终端资产管理是重中之重 资产管理是终端安全运营中最重要的基础问题,重要到没有资产管理就谈不上终端安全。试想当一个安全团队被有关方面通报了一台终端出现安全问题并要求快速处置时,一不清楚被通报的终端在哪,二不清楚具体的使用人,三不清楚这台终端的安全防护系统是否健全,四不清楚怎么快速完成修补……此时此刻,会议室里寂静无声,通报方、管理者和安全团队心里不断涌现大写的黑人问号脸……最后议定由安全团队进行扫楼式的搜查,直到找到这台终端为止。 这是一个很有代表性的场景,我们常说安全问题最终可归结为一个风险管理问题,而风险又可以量化成发生的概率乘以影响的后果。在这个场景中,最可怕的不是计算出来风险值有多大,因为多大都可以想办法去修补,真正可怕的是因为资产管理的问题导致风险未识别,最终标记为0。要知道,对大多数甲方终端安全运营团队而言,管不好和不管可是两种性质的问题了,台积电病毒事件就是最好的证明。 全生命周期的资产管理并不是一个新鲜的名词,对一个稍具规模的企业而言是体系建设的必须选项,ISO55000族标准中有相关要求和介绍,在此不做赘述。可以想象,一个具有海量终端资产的内部网络,往往预示着企业由横跨了多个业务、管理、行政条线的部门组成,因此除了制定标准规范外,如何有效打通资产生命周期内上下游的壁垒,形成动态的资产信息发布和收集,是每一个类似企业的安全运营团队所共同面临的挑战。比较常见的案例是“中间不要两头严”,例如通过强制行政效力完成了资产发放和回收过程的记录和信息共享,确保硬件资产价值本身可以被追踪回溯,但是忽略了在使用过程中对该设备使用人、物理位置以及相关软件资产的变更和记录,导致出现问题没有告警、不好定位,影响快速处置的效率。那么,回到最初的问题,怎么做好全生命周期的终端资产管理呢?我认为这是一个太大的问题,无论是理论体系还是技术实践,都不是一本书能够说清楚的,姑且用我方团队的实践经验抛砖引玉: 首先,明确需求再做规划,我方团队经过多轮次的调研和论证,提出三大类需求:一是要管理的资产要素,包括使用人、IP、MAC、位置、软件信息等;二是使用什么手段进行监测,拟采用的手段包括主机审计、网络准入控制和心跳包监测等,这样可以确保对资产的实时收集和监测,保证全生命周期资产管理的有效性;三是需要什么样的日志反馈作为管理依据,一般而言就是终端安全运营的日常指标,包含补丁下发情况、防病毒查收情况、桌面策略接受情况等。经过这几个需求的梳理,我方团队发现虽然终端资产管理涉及面非常庞杂,但是仍然有一条主线可以遵循,即:牢牢抓住全生命周期的动态安全信息资产。 其次,尽量设计出减少不同职能类型的人员交叉参与的管理流程,广泛依赖信息化、自动化工具完成信息获取。在我方运营团队前期调研过程中,发现各分支机构内部的资产验收、发放、回收、处置等流程差异较大,很难设计出一套完美兼容的流程化管理规范。此外,考虑到人员本身的能力偏差因素,即便开放一套可以共同维护的资产管理平台,也面临着一定程度的隐性错误成本。因此,我方团队最终决定通过加大技术手段的投入,减少人为参与,提升资产管理的有效性和准确性,具体措施是在网络准入层面首先针对机器的基础安全防护能力进行评估,未安装基础安全防护系统的计算机被自动断网;其次通过主机审计实现对主机名和计算机描述的自动采集和字符串校验,确保计算机规范命名且真实有效,不符合规范的被自动断网;最后是精细化运营管理要求,针对计算机的防护软件版本、补丁分发情况、病毒库升级情况进行校验,不合规的计算机均被自动隔离,在完成相关修补后再自动准入。经过以上三步递进式的运营管理,最终形成在网的全量终端资产管理库,且大幅降低了人力投入,显著提升了资产收集和管理效率,有效拓展了针对资产在使用过程中的实时监测能力,自动化的拉齐了终端的基础防御水平。 以上工作,涉及网内12万计算机终端,耗时2个月完成。 为我所用的展示和响应平台是安全运营水平的价值体现 在这个标题中,特意回避了时下比较流行的一个概念:态势感知。引用赵彦老师在《互联网企业安全高级指南》中的原话,“现在的安全行业里除了显得有些务虚的安全理论之外,要么就是一边倒的攻防,要么就是过于超前、浮在表面没有落地方案的新概念,这些声音对企业安全实操都缺乏积极的意义。”作为大神的仰慕者,简直不能同意更多……在这个会做ppt就能造车的年代,思考如何快速发声、抓住眼球、吸引资本,远比漫长的数轮次产品实践打磨,逐步完善进而形成口碑有吸引力。但是,既然身处这个行业,就免不了被各种信息碎片轰炸、洗脑,自然而然的形成了没有态势感知就不能安全运营的理念。 接下来,请您思考一下,在处理终端安全事件时,基本步骤是什么?套用攻击杀伤链和反杀伤链模型,简单阐述如下: 基于情报和规则的发现->对攻击的时间和空间定位->持续的追踪->寻找有效的防御武器->定点清除威胁->评估结果。 事实上,绝大多数安全运营团队在安全基础设施相对完备的基础上,在乙方技术支持和第三方安全服务团队的帮助下,已经将这条路径趟过不止一次了,典型案例就是“WannaCry”病毒爆发过程中,一般甲方运营团队的工作流程都是:收到国家有关部门的通知后拉响内部警报,结合自身安全防护系统的日志情况摸排战损,广泛投递网络隔离、端口禁封、专杀工具、官方补丁等不同维度的防御工具,按照2小时/次(甚至更短)的要求完成第一天工作日的战果汇总,最后领导宣布事态可控,匆匆结束近60个小时的加班后回家睡觉。在整个事件处置过程中,威胁情报获取,内部威胁摸排,应急手段的推广,事件信息的汇总,这就是态势感知这种思维和处置方式在应急事件中发挥作用的体现。本文并不强调平台或产品的名称,态势感知也好,SOC也罢,SRC也可以,只要是能够有效服务于甲方的安全运营工作,并且在应急事件处置中发挥积极作用,那便是有效的。 作为甲方终端安全运营团队,应对纷繁复杂的终端安全运营工作,需要这样一个平台,用来收集内部和外部的情报信息,分析网内的威胁情况,打通各安全系统之间的竖井,自动化的精准下发各类安全防御指令或工具。这个平台,是整个团队的价值体现:首先通过平台建设能够标准化的输出团队宝贵的应急处置经验,固化内部的应急处置流程,形成知识传递;其次为了建设能用、好用的平台,势必要求甲方安全运营团队整合现有安全基础资源,制定标准化的开发接口规范,将已有的安全基础资源封装成一个统一的武器库,试想对海量终端的威胁发现、一键修补和战果评估能够在一个平台上自动化实现,能够减少咱们多少个小时的加班^_^;最后,定制化开发平台的展示、预警功能,可以帮助运营团队细致梳理安全管理的目标和现状,找短板、补差距,真正做到运营夯实管理,管理促进运营。 还有一点建议,不管平台是否建成,首先要仔细梳理过往的运营事件,找到一条适合自己、切实可行的应急处置路径,再尝试从SOC做起,逐步增加漏洞发现、威胁情报收集等功能,同步规划现有安全产品的整合问题,最终的展示细节一定要充分吸取项目主要干系人的意见,因为这是项目成败评价的关键。以上路径,适合于初步具备安全运营能力,但是受限于人员和资源压力,难以同时并发开展工作的小伙伴们。 第三部分展望篇:辩证看待终端安全运营人力资源瓶颈的问题 由于这部分内容和每一个安全运营团队所处的业务环境、企业战略规划甚至是企业规模都息息相关,因此放在展望篇进行探讨,不求大而全,尽量把几个关键因素阐述清楚。 先抛出问题,有没有安全运营团队是不缺人的?可以随机采访任何一个安全团队负责人,相信答案一定是统一且坚定的——缺!同样的问题换一个方式问,团队还需要多少人?估计这个答案就五花八门了,但是基本上比照现有规模翻倍的需求占比应该不低于80%。我和大多数同学一样,常常被这个问题所困扰,总感觉有干不完的事,加不完的班,可是工作量并不会因为前一个任务的完成而降低,就像堆栈一样,没进来仅仅是因为进不来……另一方面,我方团队负责人常常在北门例行碰头会中突发奇想的找到各种新鲜、有趣的运营理念,并要求在工作实践中检验,此举显著增加了团队成员的工作量……经过几次思维碰(互)撞(喷),大家基本上达成一致,安全运营的人力资源投放理论上不可能匹配安全管理的要求。举例来说,一个10人团队管理100台终端,一个10人团队管理10万台终端,工作量是否相差很大?答案是显而易见的。但是,有没有办法在客观、有效、确有必要的前提下,让前者的工作量努力追赶后者?答案也是确定的。因为,安全只是一个相对的概念,没有绝对的安全才是客观事实。安全运营的目标,取决于管理层给团队负责人下达的安全任务书中对安全工作的考核标准。 回到前面的问题,为什么每个团队感觉都缺人,但是很难评估需要多少人?因为到目前为止,国内大部分企业还没有形成一套有效的安全绩效考核模型,可以精准的计算出对应什么样的人力资源应该达到什么程度的安全,以及应该给安全运营团队负责人下达什么样的指标。同样的,安全运营团队负责人,给成员开会的时候往往强调的是这个不能出问题、那个不能出问题,也是被绝对安全的标准裹挟了,因为受迫于没有真正有意义的考核指标,导致即使他们清楚的知道仅凭现有资源是无法做到大而全的安全,仍然要努力的往这个方向去做。目前一般有两种方法应对这种资源瓶颈: 一种是鸵鸟法。 鸵鸟法也叫试错法,安全运营团队负责人知道现有资源迟早会兜不住,还是按照现有资源去做,等着出一两次大的安全运营事件,让领导明白就是缺人导致的后果,然后想办法一点一点的增加资源。当然,这种做法一般要求非常熟悉领导的思维方式,能判断出爆发安全事件的严重程度,否则一不小心容易把自己的前途也搭进去。 一种是孔雀法。 孔雀法正好相反,也叫试对法,就是在现有资源的基础上努力做出一些运营方式的转变,将工作中的额外成果努力展示给领导,以正向结果输出为导向,提升管理层的信心,继而想办法获取更多的资源。这也要求团队负责人清楚的知道领导的工作思路和关注点,同时具备一定的资源统筹能力,保证该出彩的要出彩,不出彩的也不能出错。 相对来说,前者的风险更大,但是效果更直接;后者的付出更多,但是对团队自身发展更有好处。 结语 总之,对终端安全运营而言,理念转变是前提,资产收集是基础,平台(体系)是核心,团队成员是根本。由于篇幅限制,本文仅粗略阐述了对运营关键要素的理解,没有展开到具体的系统优化、策略配置和功能关联等实操层面,后续会逐步拓展到更加细节的领域,重点聊一聊人员能力培养和项目建设,分享工作案例。 *本文作者:欧阳昕,转载请注明来自FreeBuf.COM
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5 Ways to Tackle Big Graph Data with KeyLines and Neo4j

ByDan Williams, Product Manager, Cambridge Intelligence | September 11, 2018

Reading time: 6 minutes

Understanding big graph data requires two things: a robustgraph database and a powerful graph visualization engine. That’s why hundreds of developers have combinedNeo4j with the KeyLines graph visualization toolkit to create effective, interactive tools for exploring and making sense of their graph data.

But humans are not big data creatures. Given most adults can store between 4-7 items only in their short-term memory, loading an overwhelming quantity of densely-connected items into a chart won’t generate insight.

That presents a challenge for those of us building graph analysis tools.

How do you decide which subset of data to present to users? How do they find the most important patterns and connections?

That’s what we explore in this blog post. You’ll discover that, with some thoughtful planning, big data doesn’t have to be a big problem.

The Challenge of Massive Graph Visualization

For many organizations, “big data” means collecting every bit of information available and then figuring out how to use it later. One of the many problems with this approach is that it’s incredibly challenging to go beyond aggregated analysis to understand individual elements.


5 Ways to Tackle Big Graph Data with KeyLines and Neo4j
20,000 nodes visualized in KeyLines. Pretty, but pretty useless if you want to understand specific node behavior. Data from The Cosmic Web Project .

To provide your users with something more useful, you need to think about the data funnel . Through different stages of backend data management and front-end interactions, the funnel reduces billions of data points into something a user can comprehend.


5 Ways to Tackle Big Graph Data with KeyLines and Neo4j
The data funnel to bring big data down to a human scale.

Let’s focus on the key techniques you’ll apply at each stage of the funnel:

1. Filtering in Neo4j: ~1,000,000+ nodes

There’s no point visualizing your entire Neo4j instance. You want to remove as much noise as possible, as early as possible. Filtering withCypher queries is an incredibly effective way to do this.

KeyLines’ integration with Cypher means giving users some nice visual ways to create custom filtering queries, like sliders, tick-boxes or selecting from a list of cases.

In the example below, we’re using Cypher queries to power a “search and expand” interaction in KeyLines:

MATCH (movie:Movie{title: $name})<-[rel]-(actor:Actor)
RETURN *, { id: actor.id, degree: size((actor:Actor) --> (:Movie)) } as degree

First, we’re matching Actors related to a selected Movie before returning them to be added to our KeyLines chart:

[IMAGE 3] There’s no guarantee that filtering through search is enough to keep data points at a manageable level. Multiple searches might return excessive amounts of information that’s difficult to analyze.

Filtering is effective, but it shouldn’t be the only technique you use.

2. Aggregating in Neo4j: ~100,000 nodes

Once filtering techniques are in place, you should consider aggregation. There are two ways to approach this.

First, there’s data cleansing to remove duplicates and errors. This is often time-consuming but, again, Cypher is your friend. Cypher functions like “count” make it really easy to aggregate nodes in the backend:

MATCH (e1:Employee)-[m:MAILS]->(e2:Employee) RETURN e1 AS sender, e2 AS receiver, count(m) AS sent_emails

Second, there’s a data modeling step to remove unnecessary clutter from entering the KeyLines chart in the first place.

Questions to ask in terms of decluttering: Can multiple nodes be merged? Can multiple links be collapsed into one?

It’s worth taking some time to get this right. With a few simple aggregation decisions, it’s possible to reduce tens of thousands of nodes into a few hundred.


5 Ways to Tackle Big Graph Data with KeyLines and Neo4j
Using link aggregation, we’ve reduced 22,000 nodes and links into a much more manageable chart. 3. Create a Clever Visual Model: ~10,000 1,000 nodes

By now, Neo4j should have already helped you reduce 1,000,000+ nodes to a few hundred. This is where the power of data visualization really shines. Your user’s visualization relies on a small proportion of what’s in the database, but we may then use visual modelling to simplify it further.

The below chart shows graph data relating to car insurance claims. Our Neo4j database includes car and policyholders, phone numbers, insurance claims, claimants, third parties, garages and accidents:


5 Ways to Tackle Big Graph Data with KeyLines and Neo4j

Loading the full data model is useful, but with some carefully considered re-modelling, the user may select an alternative approach suited to the insight they need.

Perhaps they want to see direct connections between policyholders and garages:

[IMAGE 6] Or the user may want a view that removes unnecessary intermediate nodes and shows connections between the people involved: [IMAGE 7] The ideal visual data model will depend on the questions your users are trying to answer. 4. Filters, Combining and Pruning: ~1,000 nodes

Now that your users have the relevant nodes and links in their chart, you should give them the tools to declutter and focus on their insight.

A great way to do this is filtering by adding or removing subsets of the data on demand. For better performance, present them with a filtered view first, but give the user control options to bring in data. There are plenty of ways to do this tick boxes, sliders, the time bar or “expand and load.”

Another option is KeyLines’ combos functionality. Combos allow the users to group certain nodes, giving a clearer view of a large dataset without actually removing anything from the chart. It’s an effective way to simplify complexity, but also to offer a “detail on demand” user experience that makes graph insight easier to find.


5 Ways to Tackle Big Graph Data with KeyLines and Neo4j
Combos clear chart clutter and clarify complexity.

A third example of decluttering best practices is to remove unnecessary distractions from a chart. This might mean giving users a way to “prune” leaf nodes, or making it easy to hide “super nodes” that clutter the chart and obscure insight.

[IMAGE 9] Leaf, orphan and super nodes rarely add anything to your graph data understanding, so give users an easy way to remove them.

KeyLines offers plenty of tools to help with this critical part of your graph data analysis. This video on managing chart clutter explains a few more.

5. Run a Layout: ~100 nodes

By this point, your users should have a tiny subset of your original Neo4j graph data in their chart. The final step is to help them uncover insight. Automated graph layouts are great for this.

A good force-directed layout goes beyond simply detangling links. It should also help you see the patterns, anomalies and clusters that direct the user towards the answers they’re looking for.


5 Ways to Tackle Big Graph Data with KeyLines and Neo4j
KeyLines’ latest layout the organic layout. By spreading the nodes and links apart in a distinctive fan-like pattern, the underlying structure becomes much clearer.

With an effective, consistent and powerful graph layout, your users will find that answers start to jump out of the chart.

Bonus Tip: Talk to Your Users

This blog post is really just a starting point. There are plenty of other tips and techniques to help you solve big graph data challenges (we’ve not even started on temporal analysis or geospatial visualization).

Probably the most important tip of all is this: Take time to talk to your users .

Find out what data they need to see and the questions they’re trying to answer. Use the data funnel to make that process as simple and fast as possible, and use the combined powers of Neo4j and KeyLines to turn the biggest graph datasets into something genuinely insightful.

Visit our website to learn more about graph visualization best practices or get started with the KeyLines toolkit.

Cambridge Intelligence is a Gold Sponsor of GraphConnect 2018. Use code CAM20 to get 20% off your ticket to the conference and training sessions, and we’ll see you in New York!

Meet graph experts from around the globe working on projects just like this one when you attend GraphConnect 2018 on September 20-21. Grab the discount code above and get your ticket today.

Get My (Discounted!) Ticket
          The Data Day: August 31, 2018      Cache   Translate Page      

AWS and VMware announce Amazon RDS on VMware. And more.

For @451Research clients: On the Yellowbrick road: data-warehousing vendor emerges with funding and flash-based EDW https://t.co/shKUTosHlS By @jmscrts

― Matt Aslett’s The Data Day (@thedataday) August 31, 2018

For @451Research clients: Automated analytics: the role of the machine in corporate decision-making https://t.co/3PkCXnGfhR By Krishna Roy

― Matt Aslett’s The Data Day (@thedataday) August 28, 2018

For @451Research clients: @prophix does cloud and on-premises CPM, with machine learning up next https://t.co/8FKKvRrJDb By Krishna Roy

― Matt Aslett’s The Data Day (@thedataday) August 28, 2018

AWS and VMware have announced Amazon Relational Database Service on VMware, supporting Microsoft SQL Server, Oracle, PostgreSQL, mysql, and MariaDB. https://t.co/hy5F1g8dTA

― Matt Aslett’s The Data Day (@thedataday) August 27, 2018

Cloudera has launched Cloudera Data Warehouse (previously Cloudera Analytic DB) as well as Cloudera Altus Data Warehouse as-a-service https://t.co/386z7HaT6Q and also Cloudera Workload XM, an intelligent workload experience management cloud service https://t.co/v5jGb3Hkp0

― Matt Aslett’s The Data Day (@thedataday) August 30, 2018

Alteryx has announced version 2018.3 of the Alteryx analytics platform, including Visualytics for real-time, interactive visualizations https://t.co/8ewTXJqs5T

― Matt Aslett’s The Data Day (@thedataday) August 28, 2018

Informatica has updated its Master Data Management, Intelligent Cloud Services and Data Privacy and Protection products with a focus on hybrid, multi-cloud and on-premises environments. https://t.co/eGGrA28trh

― Matt Aslett’s The Data Day (@thedataday) August 29, 2018

SnapLogic has announced the general availability of SnapLogic eXtreme, providing data transformation support for big data architectures in the cloud. https://t.co/NijnMNLTx0

― Matt Aslett’s The Data Day (@thedataday) August 28, 2018

VoltDB has enhanced its open source VoltDB Community Edition to support real-time data snapshots, advanced clustering technology, exporter services, manual scale-out on commodity servers and access to the VoltDB Management Console. https://t.co/tEHblf4J7v

― Matt Aslett’s The Data Day (@thedataday) August 30, 2018

ODPi has announced the Egeria project for the open sharing, exchange and governance of metadata https://t.co/tEb0jRHV8F

― Matt Aslett’s The Data Day (@thedataday) August 28, 2018

And that’s the data day


          Top Ambari Interview Questions and Answers 2018      Cache   Translate Page      
1. Ambari Interview Preparation

In our last article, we discussed Ambari Interview Questions and Answers Part 1 . Today, we will see part 2 of top Ambari Interview Questions and Answers. This part contains technical and practical Interview Questions of Ambari, designed by Ambari specialist. If you are preparing for Ambari Interview then you must go through both parts of Ambari Interview Questions and answers. These all are researched questions which will definitely help you to move ahead.

Still, if you face any confusion in these frequently asked Ambari Interview Questions and Answers, we have provided the link of the particular topic. Given links will help you learn more about Apache Ambari .


Top Ambari Interview Questions and Answers 2018

Top Ambari Interview Questions and Answers 2018

2. Best Ambari Interview Questions and Answers

Following are the most asked Ambari Interview Questions and Answers, which will help both freshers and experienced. Let’s discuss these questions and answers for Apache Ambari

Que 1. What are the purposes of using Ambari shell?

Ans.Ambari Supports:

All the functionalities which are available through Ambari web-app. It supports the context-aware availability of commands. completion of a tab. Also, offers optional and required parameter support. Que 2. What is the required action you need to perform if you opt for scheduled maintenance on the cluster nodes?

Ans.Especially, for all the nodes in the cluster, Ambari offers Maintenance mode option. Hence before performing maintenance, we can enable the maintenance mode of Ambari to avoid alerts.

Que 3. What is the role of “ambari-qa” user?

Ans.‘ambari-qa’ user account performs a service check against cluster services that are created by Ambari on all nodes in the cluster.

Que 4. Explain future growth of Apache Ambari?

Ans.We have seen the massive usage of data analysis which brings huge clusters in place, due to increasing demand for big data technologies like Hadoop. Hence, more visibility companies are leaning towards the technologies like Apache Ambari, for better management of these clusters with enhanced operational efficiency.

In addition, HortonWorks is working on Ambari to make it more scalable. Thus, gaining knowledge of Apache Ambari is an added advantage with Hadoop also.

Que 5. State some Ambari components which we can use for automation as well as integration?

Ans.Especially, for automation and Integration, components of Ambari which are imported are separated into three pieces, such as:

Ambari Stacks Blueprints of Ambari Ambari API

However, to make sure that it deals with automation and integration problems carefully, Ambari is built from scratch.

Que 6. In which language is the Ambari Shell is developed?

Ans.In Java language , Ambarishell is developed. Moreover, it is based on Ambari REST client as well as the spring shell framework .

Que 7. State benefits of Hadoop users by using Apache Ambari.

Ans.We can definitely say, the individuals who use Hadoop in their day to day work life, the Apache Ambari is a great gift for them. So, benefits of Apache Ambari :

Simplified Installation process. Easy Configuration and management. Centralized security setup process. Full visibility in terms of Cluster health. Extendable and customizable.

Que 8. Name some independent extensions that contribute to the Ambari codebase?

Ans.They are:

1. Ambari SCOM Management Pack

2. Apache Slider View

Ambari Interview Questions and Answers for freshers Q. 1,2,4,6,7,8 Ambari Interview Questions and Answers for experienced Q. 3,5

Que 9. Can we use Ambari python Client to use of Ambari API’s?

Ans.Yes.

Que 10. What is the process of creating an Ambari client?

Ans.To create an Ambari client, the code is:

from ambari_client.ambari_api import AmbariClient headers_dict={'X-Requested-By':'mycompany'} #Ambari needs X-Requested-By header client = AmbariClient("localhost", 8080, "admin", "admin", version=1,http_header=headers_dict) print client.version print client.host_url print"n" Que 11. How can we see all the clusters that are available in Ambari?

Ans.In order to see all the clusters that are available in Ambari , the code is:

all_clusters = client.get_all_clusters() print all_clusters.to_json_dict() print all_clusters Que 12. How can we see all the hosts that are available in Ambari?

Ans.To see all the hosts that are available in Ambari, the code is:

all_hosts = client.get_all_hosts() print all_hosts print all_hosts.to_json_dict() print"n" Que 13. Name the three layers, Ambari supports?

Ans.Ambari supports several layers:

Core Hadoop Essential Hadoop Hadoop Support

Learn More about Hadoop

Que 14. What are the different methods to set up local repositories?

Ans.To deploy the local repositories, there are two ways:

Mirror the packages to the local repository. Else, download all the Repository Tarball and start building the Local repository

Que 15. How to set up local repository manually?

Ans.In order to set up a local repository manually, steps are:

At very first, set up a host with Apache httpd. Further download Tarball copy for every repository entire contents. However, one has to extract the contents, once it is downloaded. Ambari Interview Questions and Answers for freshers Q. 13,14,15 Ambari Interview Questions and Answers for experienced Q. 10,11,12 Que 16. How is recovery achieved in Ambari?

Ans.Recovery happens in Ambari in the following ways:

Based on actions

In Ambari after a restart master checks for pending actions and reschedules them since every action is persisted here. Also, the master rebuilds the state machines when there is a restart, as the cluster state is persisted in the database. While actions complete master actually crash before recording their completion, when there is a race condition. Well, the actions should be idempotent this is a special consideration taken. And, those actions which have not marked as complete or have failed in the DB, the master restarts them. We can see these persisted actions in Redo Logs.

Based on the desired state
          Big Data - Data Processing | Spark - Klein Management Systems - San Francisco, CA      Cache   Translate Page      
Basic knowledge of software development methodologies (e.g., Agile, Waterfall). Write and review portions of detailed specifications for the development of...
From Klein Management Systems - Thu, 06 Sep 2018 17:28:52 GMT - View all San Francisco, CA jobs
          Executive Director- Machine Learning & Big Data - JP Morgan Chase - Jersey City, NJ      Cache   Translate Page      
We would be partnering very closely with individual lines of business to build these solutions to run on either the internal and public cloud....
From JPMorgan Chase - Fri, 20 Jul 2018 13:57:18 GMT - View all Jersey City, NJ jobs
          Big Data Engineer - TVN S.A. - Warszawa, mazowieckie      Cache   Translate Page      
BĘDZIESZ ODPOWIEDZIALNY/A ZA: Budowę nowych, i utrzymywanie istniejących, rozwiązań Big Data Utrzymywanie odpowiednich standardów rozwoju oprogramowania...
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          By Customer Demand: Databricks and Snowflake Integration      Cache   Translate Page      

Today, we are proud to announce a partnership between Snowflake and Databricks that will help our customers further unify Big Data and AI by providing an optimized, production-grade integration between Snowflake’s built for the cloud-built data warehouse and Databricks’ Unified Analytics Platform. Over the course of the last year, our joint customers such as Rue […]

The post By Customer Demand: Databricks and Snowflake Integration appeared first on Databricks.


          4 Ways R Developers Are Solving Business Analytics Challenges      Cache   Translate Page      

R developers have played a crucial role in developing applications predicated on big data. There are numerous fields that have benefited from their work. Healthcare, construction, law enforcement and academia are just a few of the countless sectors that have become dependent on applications developed by R programmers. However, business analytics may be the field […]

The post 4 Ways R Developers Are Solving Business Analytics Challenges appeared first on SmartData Collective.


          Los cuatro retos del Big Data y Analytics, según Gartner      Cache   Translate Page      

En el marco del primer Gartner Data & Analytics Summit en la Ciudad de México, la consultora destacó que con el surgimiento de tendencias como Internet de las Cosas, Inteligencia Artificial y aprendizaje automático como nuevos pilares de los negocios digitales, los datos y analíticos se están volviendo dominantes, sustentando todos los modelos de negocio. Para alcanzar […]

The post Los cuatro retos del Big Data y Analytics, según Gartner appeared first on .


          Developer (ADMIN BIG DATA) – Constantia Kloof – Gauteng - Praesignis - Randburg, Gauteng      Cache   Translate Page      
Chef Elastic Search/ Logstash/Kibana1-. Standard Bank is a firm believer in technical innovation, to help us guarantee exceptional client service and leading...
From Praesignis - Sun, 22 Jul 2018 10:50:40 GMT - View all Randburg, Gauteng jobs
          Software Engineer- Big Data/ Spark - Whitepages - Seattle, WA      Cache   Translate Page      
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From Whitepages - Sat, 18 Aug 2018 05:51:52 GMT - View all Seattle, WA jobs
          Industry Dynamics: Insurance IT Spending Market by Key Vendors: CSC, Fiserv, Oracle, Andesa 2018-2025      Cache   Translate Page      

Brooklyn, NY -- (SBWIRE) -- 09/12/2018 -- Qyresearchreports include new market research report Insurance IT Spending to its huge collection of research reports.

This report studies the global Insurance IT Spending market size, industry status and forecast, competition landscape and growth opportunity. This research report categorizes the global Insurance IT Spending market by companies, region, type and end-use industry.

Insurance firms in the US are deploying several big data and analytics technologies for effective risk and compliance management. Analytics solutions help insurance firms to increase their profitability and competitiveness in both domestic and global insurance markets.

The increased application of advanced analytical tools such as descriptive, predictive, and prescriptive analytical solutions has helped insurance firms to obtain accurate estimation of the highly demanded products. Increased adoption of social media monitoring and analytical tools in the insurance sector will result in the elevated sale of insurance products in the coming years.

Get Free Sample Report of the Research Study at: https://www.qyresearchreports.com/sample/sample.php?rep_id=1867710&type=S

This report focuses on the global top players, covered
Accenture
CSC
Fiserv
Guidewire Software
Oracle
Andesa
Cognizant
EXL Service
FIS
Genpact
Majesco
...

The study objectives of this report are:

To study and forecast the market size of Insurance IT Spending in global market.
To analyze the global key players, SWOT analysis, value and global market share for top players.
To define, describe and forecast the market by type, end use and region.
To analyze and compare the market status and forecast between China and major regions, namely, United States, Europe, China, Japan, Southeast Asia, India and Rest of World.
To analyze the global key regions market potential and advantage, opportunity and challenge, restraints and risks.
To identify significant trends and factors driving or inhibiting the market growth.
To analyze the opportunities in the market for stakeholders by identifying the high growth segments.
To strategically analyze each submarket with respect to individual growth trend and their contribution to the market
To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market
To strategically profile the key players and comprehensively analyze their growth strategies.

For the data information by region, company, type and application, 2017 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.

Key Stakeholders
Insurance IT Spending Manufacturers
Insurance IT Spending Distributors/Traders/Wholesalers
Insurance IT Spending Subcomponent Manufacturers
Industry Association
Downstream Vendors

Read Complete Research Report at: https://www.qyresearchreports.com/report/global-insurance-it-spending-market-size-status-and-forecast-2025.htm

Table of Contents

1 Industry Overview of Insurance IT Spending
1.1 Insurance IT Spending Market Overview
1.1.1 Insurance IT Spending Product Scope
1.1.2 Market Status and Outlook
1.2 Global Insurance IT Spending Market Size and Analysis by Regions (2013-2018)
1.3 Insurance IT Spending Market by Type
1.3.1 Software spending
1.3.2 Hardware spending
1.3.3 IT services spending
1.4 Insurance IT Spending Market by End Users/Application
1.4.1 Commercial P&C insurance
1.4.2 Personal P&C insurance
1.4.3 Health and medical insurance
1.4.4 Life and accident insurance
1.4.5 Insurance administration and risk consulting
1.4.6 Annuities

2 Global Insurance IT Spending Competition Analysis by Players
2.1 Insurance IT Spending Market Size (Value) by Players (2013-2018)
2.2 Competitive Status and Trend
2.2.1 Market Concentration Rate
2.2.2 Product/Service Differences
2.2.3 New Entrants
2.2.4 The Technology Trends in Future

3 Company (Top Players) Profiles
3.1 Accenture
3.1.1 Company Profile
3.1.2 Main Business/Business Overview
3.1.3 Products, Services and Solutions
3.1.4 Insurance IT Spending Revenue (Million USD) (2013-2018)
3.2 CSC
3.2.1 Company Profile
3.2.2 Main Business/Business Overview
3.2.3 Products, Services and Solutions
3.2.4 Insurance IT Spending Revenue (Million USD) (2013-2018)
3.3 Fiserv
...

List of Tables and Figures

Figure Global Insurance IT Spending Market Size (Million USD) Status and Outlook (2013-2018)
Table Global Insurance IT Spending Revenue (Million USD) Comparison by Regions (2013-2018)
Figure Global Insurance IT Spending Market Share by Regions (2013-2018)
Figure United States Insurance IT Spending Market Size (Million USD) and Growth Rate by Regions (2013-2018)
Figure Europe Insurance IT Spending Market Size (Million USD) and Growth Rate by Regions (2013-2018)
Figure China Insurance IT Spending Market Size (Million USD) and Growth Rate by Regions (2013-2018)
Figure Japan Insurance IT Spending Market Size (Million USD) and Growth Rate by Regions (2013-2018)
Figure Southeast Asia Insurance IT Spending Market Size (Million USD) and Growth Rate by Regions (2013-2018)
Figure India Insurance IT Spending Market Size (Million USD) and Growth Rate by Regions (2013-2018)
Table Global Insurance IT Spending Revenue (Million USD) and Growth Rate (%) Comparison by Product (2013-2018)
Figure Global Insurance IT Spending Revenue Market Share by Type in 2017
Figure Software spending Market Size (Million USD) and Growth Rate (2013-2018)
Figure Hardware spending Market Size (Million USD) and Growth Rate (2013-2018)
Figure IT services spending Market Size (Million USD) and Growth Rate (2013-2018)
Figure Global Insurance IT Spending Market Share by Application in 2017
Figure Insurance IT Spending Market Size (Million USD) and Growth Rate in Commercial P&C insurance (2013-2018)
...

About QYResearchReports
QYResearchReports delivers the latest strategic market intelligence to build a successful business footprint in China. Our syndicated and customized research reports provide companies with vital background information of the market and in-depth analysis on the Chinese trade and investment framework, which directly affects their business operations. Reports from QYResearchReports feature valuable recommendations on how to navigate in the extremely unpredictable yet highly attractive Chinese market.

Contact Us:
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United States
Toll Free: 866-997-4948 (USA-CANADA)
Tel: +1-518-618-1030
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Email: sales@qyresearchreports.com

For more information on this press release visit: http://www.sbwire.com/press-releases/industry-dynamics-insurance-it-spending-market-by-key-vendors-csc-fiserv-oracle-andesa-2018-2025-1047180.htm

Media Relations Contact

Ivan Gary
Manager
QYResearchReports
Telephone: 1-866-997-4948
Email: Click to Email Ivan Gary
Web: https://www.qyresearchreports.com/report/global-insurance-it-spending-market-size-status-and-forecast-2025.htm

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          Fundamentals in the Oil Field Matter Even More with Big Data      Cache   Translate Page      
In this contributed article, Shiva Rajagopalan, President and CEO of Seven Lakes Technologies, discusses how big data is being used and what the opportunities are in the billion dollar oil & gas industry. The objective for success is straightforward for the oil and gas operations: bring the usefulness of data out of the office and make it all about the field.
          Jr. Java Developer for Big Data Project - Prodigy Systems - North York, ON      Cache   Translate Page      
Our company is hiring new grads with a Computer Science degree and a passion for technology to work for our financial client. Please only respond if you have...
From Indeed - Wed, 29 Aug 2018 19:11:50 GMT - View all North York, ON jobs
          (Senior) Quality Management (f/m) in SAP Innovative Business Solutions Organization - SAP - Sankt Leon-Rot      Cache   Translate Page      
We make innovation real by using the latest technologies around SAP Hybris, SAP S/4HANA, cloud projects, and big data and analytics....
Gefunden bei SAP - Tue, 11 Sep 2018 17:37:26 GMT - Zeige alle Sankt Leon-Rot Jobs
          Senior Developer/Development Architect SAP S/4 HANA & SAP Cloud Platform (F/M) SAP INNOVATIVE B - SAP - Sankt Leon-Rot      Cache   Translate Page      
We make innovation real by using the latest technologies around the Internet of Things, blockchain, artificial intelligence / machine learning, and big data and...
Gefunden bei SAP - Tue, 11 Sep 2018 17:37:26 GMT - Zeige alle Sankt Leon-Rot Jobs
          Management Assistant (f/m) SAP Innovative Business Solutions - SAP - Sankt Leon-Rot      Cache   Translate Page      
We make innovation real by using the latest technologies around the Internet of Things, blockchain, artificial intelligence / machine learning, and big data and...
Gefunden bei SAP - Tue, 11 Sep 2018 17:36:57 GMT - Zeige alle Sankt Leon-Rot Jobs
          Software Engineer- Big Data/ Spark - Whitepages - Seattle, WA      Cache   Translate Page      
Whitepages identity verification is also used by leading companies including Jet Blue, Lego, and Intuit to prevent fraudulent transactions while delivering...
From Whitepages - Sat, 18 Aug 2018 05:51:52 GMT - View all Seattle, WA jobs
          Revenue managers, ¿cuál será su papel en el futuro?      Cache   Translate Page      

El Campus de Manuel Becerra de la Universidad Rey Juan Carlos acogió la semana pasada la mesa redonda ‘Revenue Management, una disciplina con falta de profesionales y gran demanda laboral’. La directora del Curso Experto en Revenue Management y Big Data, la profesora Pilar Talón, contó con la participación de Fernando Vives, Chief Commercial Officer […]

The post Revenue managers, ¿cuál será su papel en el futuro? appeared first on SmartTravelNews.


          Adjunct Professor - Marketing - Niagara University - Lewiston, NY      Cache   Translate Page      
Social Media and Mobile Marketing. Prepares and grades tests, work sheets and projects to evaluate students; Food &amp; CPG Marketing. Big Data Analytics....
From Niagara University - Tue, 17 Jul 2018 23:33:14 GMT - View all Lewiston, NY jobs
          Pioneers in AI – Conversations with AI Thought Leaders      Cache   Translate Page      
At Microsoft, we are privileged to work with individuals whose ideas are blazing a trail, transforming entire businesses through the power of the cloud, big data and artificial intelligence. Our new Pioneers in AI series features insights from such pathbreakers. Join us as we dive into these innovators’ ideas and the solutions they are bringing... Read more
          Research Scientist, Industrial AI      Cache   Translate Page      
CA-Santa Clara, Company: Hitachi America, Ltd. Division: R&D/Big Data Lab Location: Santa Clara, CA Status: Regular, Full-Time Summary Hitachi America, Ltd. (http://www.hitachi-america.us/) has openings for Research Scientists in the Big Data Laboratory located in Silicon Valley. The mission of this laboratory is to help create new and innovative solutions in big data and advanced analytics. The laboratory focuse
          AI for businesses      Cache   Translate Page      

Joseph Stiglitz comments on the danger that AI and big data give businesses an advantage over individuals.

He does not touch on the danger of what the state will do with that data after taking it from the companies.

          Cloud/Big Data Solution Architect - March Networks Corporation - Ottawa, ON      Cache   Translate Page      
This is the first project of this kind, and to start, we’ve wiped the slate clean to limit dependency on legacy products, outdated structures and outdated...
From March Networks Corporation - Thu, 12 Jul 2018 05:54:12 GMT - View all Ottawa, ON jobs
          Big Data Engineer - TVN S.A. - Warszawa, mazowieckie      Cache   Translate Page      
BĘDZIESZ ODPOWIEDZIALNY/A ZA: Budowę nowych, i utrzymywanie istniejących, rozwiązań Big Data Utrzymywanie odpowiednich standardów rozwoju oprogramowania...
Od TVN S.A. - Fri, 31 Aug 2018 17:09:32 GMT - Pokaż wszystkie Warszawa, mazowieckie oferty pracy
          Manager, Advertiser Analytics - Cardlytics - Atlanta, GA      Cache   Translate Page      
The big picture 1,500 banks. 120 million customers. 20 billion transactions per year. If you're looking for big data, you found it. Cardlytics helps...
From Cardlytics - Thu, 28 Jun 2018 14:35:01 GMT - View all Atlanta, GA jobs
          Senior Big Data Engineer - Cardlytics - Atlanta, GA      Cache   Translate Page      
The Big Picture There are many powerful big data tools available to help process lots and lots of data, sometime in real- or near real-time, but well...
From Cardlytics - Mon, 04 Jun 2018 18:44:44 GMT - View all Atlanta, GA jobs
          Este es el nuevo “Algoritmo” capaz de aumentar la velocidad de internet en un 50 por ciento      Cache   Translate Page      

Caracas.- Un nuevo algoritmo proporciona un acceso rápido y fiable a centros de procesamiento de datos (Big Data).  Lea también: ¡Te escuchan pero no te ven! Twitter permitirá hacer retransmisiones de audio en directo Este logro es obra de científicos de la Universidad de Samara en Rusia y de la de Misuri en Estados Unidos. El algoritmo … Este es el nuevo “Algoritmo” capaz de aumentar la velocidad de internet en un 50 por ciento

El artículo Este es el nuevo “Algoritmo” capaz de aumentar la velocidad de internet en un 50 por ciento es el primero en El Cooperante.


          Sr Software Engineer ( Big Data, NoSQL, distributed systems ) - Stride Search - Los Altos, CA      Cache   Translate Page      
Experience with text search platforms, machine learning platforms. Mastery over Linux system internals, ability to troubleshoot performance problems using tools...
From Stride Search - Tue, 03 Jul 2018 06:48:29 GMT - View all Los Altos, CA jobs
          Big data is synergized by team and open science      Cache   Translate Page      
(American Institute of Biological Sciences) The synergy of data-intensive, open, and team science can help scientists answer broad environmental questions.
          Consultor BI (SSAS, SSIS, SSRS) - DRAGO SOLUTIONS - Madrid, Madrid provincia      Cache   Translate Page      
Drago Solutions del grupo Devoteam, somos una consultora tecnológica muy orientada a la consultoría BI, Business Analytics y Big Data....
De DRAGO SOLUTIONS - Fri, 07 Sep 2018 13:44:44 GMT - Ver todo: empleo en Madrid, Madrid provincia
          Analista Programador SSIS,SSRS,MDX, Madrid - Drago - Madrid, Madrid provincia      Cache   Translate Page      
Drago Solutions del grupo Devoteam, somos una consultora tecnológica muy orientada a la consultoría BI, Business Analytics y Big Data....
De Tecnoempleo - Wed, 22 Aug 2018 10:40:47 GMT - Ver todo: empleo en Madrid, Madrid provincia
          Consultor BI- Datastage - DRAGO SOLUTIONS - Madrid, Madrid provincia      Cache   Translate Page      
Drago Solutions del grupo Devoteam, somos una consultora tecnológica muy orientada a la consultoría BI, Business Analytics y Big Data....
De DRAGO SOLUTIONS - Tue, 19 Jun 2018 13:45:54 GMT - Ver todo: empleo en Madrid, Madrid provincia
          Analista Programador Oracle (PL/SQL) - DRAGO SOLUTIONS - Madrid, Madrid provincia      Cache   Translate Page      
Descripción: Drago Solutions del grupo Devoteam,somos una consultora tecnológica muy orientada a la consultoría BI, Business Analytics y Big Data. Contamos...
De DRAGO SOLUTIONS - Thu, 14 Jun 2018 13:43:31 GMT - Ver todo: empleo en Madrid, Madrid provincia
          BI Development Manager - Nintendo of America Inc. - Redmond, WA      Cache   Translate Page      
Legacy DW transformation to Big Data experience is a plus. Nintendo of America Inc....
From Nintendo - Wed, 01 Aug 2018 14:28:49 GMT - View all Redmond, WA jobs
          Vorsprung im Datenwettlauf – Smart statt Big Data      Cache   Translate Page      
Die Datenmengen nehmen exponentiell zu. Gerade in der Vermögensverwaltung, in der Informationen seit je ein entscheidender Erfolgsfaktor sind, spielen sie eine wichtige Rolle.
          Highlighting Women in STEM: Cecile Ramombordes, Knowledge Engineer      Cache   Translate Page      
Highlighting Women in STEM: Cecile Ramombordes, Knowledge Engineer

Meet our sixth highlighted woman in STEM, Cecile Ramombordes. She’s yet another inspiring female taking STEM by storm in the workforce. Cecile works at Monster Worldwide, Inc. as a “Knowledge Engineer.”

Learn a little more about Cecile's background, in her own words:

“I was born in France, into a family interested in science, more specifically both of my parents were chemists. I was raised according to the principle that I had to make a difference in people’s lives. An early interest in people’s motives for doing what they do led me to study Clinical Psychology.

After university, I started my career as a Human Resources specialist in the automotive industry, working mainly as a recruiter and then moving on to HR Business Partner at Toyota European HQ, far away from STEM positions!
Then, my family moved to the Silicon Valley where many tech companies localize their products for international markets, and where my native language, French, became one of my assets for the job market. My first step as QA tester/language engineer contractor was at a well-renowned company in Cupertino where I learned all about QA testing processes and the important role of natural language online.

Then, two years ago, I had the opportunity to join Monster as a Knowledge Engineer, in charge of the French Knowledge Base, a position for which a combination of technical and linguistic skills is required. I have now gained enough knowledge and expertise to have the honor of being appointed by the European Commission as a member of the European Skills/Competencies, Qualifications and Occupations (ESCO) maintenance committee, which consists of 22 experts and professionals in classifications systems and terminology related to labor, training and education markets.”

Note: Cecile is our sixth woman in STEM highlight within our Women in STEM series. You can find the other highlighted woman in STEM profiles here: Data Analytics, Food Scientist) Food Sciences, Veterinaran and Electrical Engineer.

Read on to discover a Q&A session with Cecile to learn more about how she entered the world of STEM, exactly what a Knowledge Engineer does and how you can get there, too. And, learn a little more about the path she took to get there.

1. What’s your education background?

Master’s degree in psychology and education sciences.

2. Did you apply for and/or obtain any scholarships?

My family didn’t meet the financial requirements for me to be granted with a scholarship.

3. Did you have any internships? If so, what did you learn from them?

As part of my internship during my last year at university, I had to take personality and intelligence tests. The results led to the conclusion that I had an engineer mindset, that I should have pursued a career in STEM...which after twists and turns, I have now…and they were right, I enjoy it!

4. How would you describe your current job in layman’s terms? What does a typical work day look like for you?

“Knowledge engineers integrate structured knowledge into computer systems (knowledge bases) in order to solve complex problems normally requiring a high level of human expertise or artificial intelligence methods,” according to the European Skills/Competencies, Qualifications and Occupations (ESCO) description.

In our current information society, one example of a challenging, highly complex system is Natural Language, which comes easily to us humans, but is very difficult for computers to understand because of its flexibility as well as its lexical and structural ambiguities.

A single idea can be expressed in many different ways; the same word or combination of words can mean different things. But, how is a computer to deal with polysemy, differentiate denotation from connotation and implication, identify metaphors, metonyms, homophones, homographs and so on, while not having the disambiguation skills our use of contextual information and our own experience of the world give us?

Examples:

• "You know, somebody actually complimented me on my driving today. They left a little note on the windscreen; it said, 'Parking Fine.' So that was nice." (English comedian Tim Vine)

• The fisherman went to the bank.

The job market is one area that is heavily reliant on understanding natural language. Employers post jobs online, and seekers post their resumes online, and there are millions of resumes and millions of jobs out there. Monster’s goal is to help both seekers and employers quickly sort through all those millions, to help workers find the jobs that suit them best, and to help employers find the best-suited candidates.

As a French Knowledge Engineer in this endeavor, my role is to facilitate the online communication by identifying the qualifications, skills and abilities that are being discussed regardless of the particular language the seeker or employer might have chosen to express them. In other words, using a variety of tools, programming methods, my linguistic expertise and life experience, we move away from form into substance.

If I was both a language and HR specialist when I started, I had to learn everything from the technical standpoint (proprietary programming language, data analysis, structure and extraction tools – SQL-, text annotation, regular expressions and so on…) so I can support my colleague developers in their endeavors to improve our products, mainly using artificial intelligence, big data analysis and language processing tools and techniques.

5. What do you love most about your job?

Ultimately, the feeling of achievement knowing that my work helps people find jobs that suit them by using a unique combination of language and technical skills, which is both personally and intellectually challenging and nourishing.

6. What advice do you have for students going into STEM fields?

Work hard and use your full intellectual and emotional potential, your understanding of the world and your way of solving its challenges is valuable.

7. What specific advice do you have for females going into the field?

To paraphrase the famous song, this has been a man’s world, but it would be nothing without a woman or a girl. Being that woman is one of our assets. We have to play to our strengths, be open-minded and whether we prefer to broaden or deepen our knowledge, continuously learn.

8. What qualities should students thinking about pursuing a STEM career have in order to be successful?

Some challenges are stubborn and what we know today is only the foundation of tomorrow’s scientific truth so in my opinion, to pursue a STEM career, perseverance and open-mindedness are keys to success.

9. What’s it like being a successful woman in a male-dominated field? Any advice?

Both in my office and in the experts group I am part of, there is gender equality, so I consider myself lucky and wish it will soon become a standard across all industries, in particulars in the STEM field where the gender disparity is huge.

10. What do you think the solution is to get more females in STEM fields?

I think a shift in the perspective and in the way advocacy is implemented are both necessary. The first step would be to offer more scholarships supporting women who pursue degrees in STEM.

Then, when the gender gap starts to diminish, role models should be advertised not only as women in STEM but more importantly as successful professionals/experts/managers in STEM with no mention of gender as if it were a given and considered the normal, or usual, state of affairs.

If you have a question for our featured woman in STEM, Cecile Ramombordes, send an email to ask Cecile your question today.

Find STEM Jobs and Internships at Monster:

Enterprise Data Architect

Contract Systems Administrator

Director of Product Management (Growth)

See more jobs at Monster.


          Scientific publishing is a rip-off. We fund the research – it should be free | George Monbiot      Cache   Translate Page      

Those who take on the global industry that traps research behind paywalls are heroes, not thieves

Never underestimate the power of one determined person. What Carole Cadwalladr has done to Facebook and big data, and Edward Snowden has done to the state security complex, Alexandra Elbakyan has done to the multibillion-dollar industry that traps knowledge behind paywalls. Sci-Hub, her pirate web scraper service, has done more than any government to tackle one of the biggest rip-offs of the modern era: the capture of publicly funded research that should belong to us all. Everyone should be free to learn; knowledge should be disseminated as widely as possible. No one would publicly disagree with these sentiments. Yet governments and universities have allowed the big academic publishers to deny these rights. Academic publishing might sound like an obscure and fusty affair, but it uses one of the most ruthless and profitable business models of any industry.

The model was pioneered by the notorious conman Robert Maxwell. He realised that, because scientists need to be informed about all significant developments in their field, every journal that publishes academic papers can establish a monopoly and charge outrageous fees for the transmission of knowledge. He called his discovery “a perpetual financing machine”. He also realised that he could capture other people’s labour and resources for nothing. Governments funded the research published by his company, Pergamon, while scientists wrote the articles, reviewed them and edited the journals for free. His business model relied on the enclosure of common and public resources. Or, to use the technical term, daylight robbery.

Continue reading...
          Randwick Precinct Cancer Roundtable - Big Data      Cache   Translate Page      
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          Big Data - Hadoop/Hive Linux      Cache   Translate Page      
VA-Alexandria, Haddop Big Data Engineer Alexandria, VA MUST: Experienced Senior Big Data Engineer 5 plus years of Hands on experience with data lake implementations (Hortonworks/Cloudera) 5 years of understanding of Hadoop ecosystem like HDFS, YARN, MapReduce, Hive, Pig, Spark, Sqoop, Solr, kafka, oozie, Knox etc. 5 year of Strong Linux/Unix and Networking experience 5 years of experience in programing languages
          Developer (ADMIN BIG DATA) – Constantia Kloof – Gauteng - Praesignis - Randburg, Gauteng      Cache   Translate Page      
Chef Elastic Search/ Logstash/Kibana1-. Standard Bank is a firm believer in technical innovation, to help us guarantee exceptional client service and leading...
From Praesignis - Sun, 22 Jul 2018 10:50:40 GMT - View all Randburg, Gauteng jobs
          Sharing your meter data might help cut your power bill, but it needs secure regulation      Cache   Translate Page      
(MENAFN - The Conversation) We are now well and truly in the era of big data . Scandals such as Cambridge Analytica show that vast amounts of our personal data are being harvested ...
          Senior Big Data Engineer - New Leaf Associates Inc - Reston, VA      Cache   Translate Page      
Work closely with Ab Initio ETL developers to leverage that technology as appropriate within our Cloudera Big Data environment....
From New Leaf Associates Inc - Tue, 11 Sep 2018 23:30:49 GMT - View all Reston, VA jobs
          Developer Enterprise Data Integration - Wipro LTD - McLean, VA      Cache   Translate Page      
Ab Initio ETL Testing-L2. Ab Initio ETL, Data Integration. Big Data, Ab Initio ETL Testing. Key skills required for the job are:....
From Wipro LTD - Tue, 11 Sep 2018 16:49:24 GMT - View all McLean, VA jobs
          Information Architect - Enterprise Data Integration - Wipro LTD - McLean, VA      Cache   Translate Page      
Ab Initio Big Data Edition. Ab Initio Big Data Edition-L3 (Mandatory). Ab Initio Big Data Edition Branding and Thought Leadership, Data Integration Design, Data...
From Wipro LTD - Mon, 30 Jul 2018 16:50:38 GMT - View all McLean, VA jobs
          Data Center Network Architect      Cache   Translate Page      
AZ-Tempe, Data Center Network Architect Innovate to solve the world's most important challenges Join a company that is transforming from a traditional industrial company to a contemporary digital industrial business, harnessing the power of cloud, big data, analytics, Internet of Things, and design thinking. You will support change that brings value to our customers, partners, and shareholders through the c
          DevOps Engineer - TenTek - Seattle, WA      Cache   Translate Page      
The applications that we are supporting Datawarehouse and big data framework. Basic Qualifications • Configuration management and orchestration (e.g....
From TenTek - Fri, 31 Aug 2018 00:17:12 GMT - View all Seattle, WA jobs
          Data Engineer - Amazon.com - Seattle, WA      Cache   Translate Page      
Good working knowledge of RDBMS and Datawarehouse environment. Amazon Big Data team is looking for a Sr....
From Amazon.com - Tue, 21 Aug 2018 01:25:16 GMT - View all Seattle, WA jobs
          Big Data Developer - Vivifi Tech - Dallas, TX      Cache   Translate Page      
Strong Datawarehouse concepts and fundamentals. 5 or more years if IT development work experience (end-end design, development) for Datawarehouse, BI reporting... $55 - $60 an hour
From Indeed - Fri, 24 Aug 2018 22:54:02 GMT - View all Dallas, TX jobs
          Sports Analytics Market Technological Innovation by Leading Industry Players 2022-Stats LLC, Catapult Sports, SportRadar, SAP SE, IBM, SAS Institute, Tableau and Accenture      Cache   Translate Page      
Sports Analytics Market Technological Innovation by Leading Industry Players 2022-Stats LLC, Catapult Sports, SportRadar, SAP SE, IBM, SAS Institute, Tableau and Accenture Sports Analytics received a major boost from wearable devices, video cameras and various sensors. SportVU camera systems are used in basketball leagues and pitch f/x and field f/x technologies are used in the Major League Baseball. Big data and cloud

          Dell EMC puts big data as a service on premises      Cache   Translate Page      

To get up and running on a self-service, big-data analytics platform efficiently, many data-center and network managers these days would likely think about using a cloud service. But not so fast – there is some debate about whether the public cloud is the way to go for certain big-data analytics.

For some big-data applications, the public cloud may be more expensive in the long run, and because of latency issues, slower than on-site private cloud solutions. In addition, having data storage reside on premises often makes sense due to regulatory and security considerations.

With all this in mind, Dell EMC has teamed up with BlueData, the provider of a container-based software platform for AI and big-data workloads, to offer Ready Solutions for Big Data, a big data as a service (BDaaS) package for on-premises data centers. The offering brings together Dell EMC servers, storage, networking and services along with BlueData software, all optimized for big-data analytics.

To read this article in full, please click here


          New paper: Big data, big decisions: The impact of big data on board level decision-making      Cache   Translate Page      
If you are interested on the impact of big data on business, you might want to check a new paper that I co-authored with Alessandro Merendino, Sally Dibb, Maureen Meadows, Lee Quinn, David Wilson and Lyndon Simkin; and which has just been published in the Journal of Business Research. This paper reports on a research … Continue reading New paper: Big data, big decisions: The impact of big data on board level decision-making
          (USA-NY-New York) Senior Software Engineer - Full Stack      Cache   Translate Page      
Want to work with driven and knowledgeable engineers using the latest technology in a friendly, open, and collaborative environment? Expand your knowledge at various levels of a modern, big-data driven, micro service stack, with plenty of room for career growth? At Unified, we empower autonomous teams of engineers to discover creative solutions for real-world problems in the marketing and technology sectors. We take great pride in building quality software that brings joy and priceless business insight to our end-users. We're looking for a talented Senior Software Engineer to bolster our ranks! Could that be you? What you'll do: • Gain valuable technology experience at a rapidly growing big data company • Take on leadership responsibilities, leading projects and promoting high quality standards • Work with a top-notch team of engineers and product managers using Agile development methodologies • Design, build and iterate on novel, cutting-edge software in a young, fast-moving industry • Share accumulated industry knowledge and mentor less experienced engineers • Participate regularly in code reviews • Test your creativity at Unified hack-a-thons Who you are: You're a senior engineer who is constantly learning and honing your skills. You love exploring complex systems to reveal possible architectural improvements. You're friendly and always willing to help others accomplish their goals. You have strong communication skills that enable you to describe technical issues in layman's terms. Must have: • 4+ years of professional development experience in relevant technologies • Willingness to mentor other engineers • Willingness to take ownership of projects • Backend development experience with Python, Golang, or Java • Frontend development experience with JavaScript, HTML, and CSS • React and supporting ecosystem tech, e.g. Redux, React Router, GraphQL • Experience supporting a complex enterprise SaaS software platform • Relational databases, e.g. Amazon RDS, PostgreSQL, MySQL • Microservice architecture design principles • Strong personal commitment to code quality • Integrating with third-party APIs • REST API endpoint development • Unit testing • A cooperative, understanding, open, and friendly demeanor • Excellent communication skills, with a willingness to ask questions • Demonstrated ability to troubleshoot difficult technical issues • A drive to make cool stuff and seek continual self-improvement • Able to multitask in a dynamic, early-stage environment • Able to work independently with minimal supervision Nice to have: • Working with agile methodologies • Experience in the social media or social marketing space • Git and Github, including Github Pull-Request workflows • Running shell commands (OS X or Linux terminal) • Ticketing systems, e.g. JIRA Above and beyond: • Amazon Web Services • CI/CD systems, e.g. Jenkins • Graph databases, e.g. Neo4J • Columnar data stores, e.g. Amazon Redshift, BigQuery • Social networks APIs, e.g. Facebook, Twitter, LinkedIn • Data pipeline and streaming tech, e.g. Apache Kafka, Apache Spark
          (USA-NY-New York) Software Engineer - Full-Stack      Cache   Translate Page      
Want to work with driven and knowledgeable engineers using the latest technology in a friendly, open, and collaborative environment? Expand your knowledge at various levels of a modern, big-data driven, micro service stack, with plenty of room for career growth? At Unified, we empower autonomous teams of engineers to discover creative solutions for real-world problems in the marketing and technology sectors. We take great pride in building quality software that brings joy and priceless business insight to our end-users. We're looking for a talented Software Engineer to bolster our ranks! Could that be you? What you'll do: • Gain valuable technology experience at a rapidly growing big data company • Work with a top-notch team of engineers and product managers using Agile development methodologies • Design, build and iterate on novel, cutting-edge software in a young, fast-moving industry • Participate regularly in code reviews • Test your creativity at Unified hack-a-thons Who you are: You're a software engineer who is eager to get more experience with enterprise-level software development, and constantly learning and honing your skills. You love to learn about large systems and make them better by fixing deficiencies and finding inefficient designs. You're friendly and always willing to help others accomplish their goals. You have strong communication skills that enable you to describe technical issues in layman's terms. Must have: • 1+ years of professional development experience in relevant technologies • Backend development experience with Python, Golang, or Java • Relational databases, e.g. Amazon RDS, PostgreSQL, MySQL • Strong personal commitment to code quality • Integrating with third-party APIs • REST API endpoint development • Unit testing • Working with agile methodologies • A cooperative, understanding, open, and friendly demeanor • Excellent communication skills, with a willingness to ask questions • Demonstrated ability to troubleshoot difficult technical issues • A drive to make cool stuff and seek continual self-improvement • Able to multitask in a dynamic, early-stage environment • Able to work independently with minimal supervision Nice to have: • Frontend development experience with JavaScript, HTML, and CSS • React and supporting ecosystem tech, e.g. Redux, React Router, GraphQL • Experience supporting a complex enterprise SaaS software platform • Experience in the social media or social marketing space • Git and Github, including Github Pull-Request workflows • Running shell commands (OS X or Linux terminal) • Microservice architecture design principles • Ticketing systems, e.g. JIRA Above and beyond: • Amazon Web Services • CI/CD systems, e.g. Jenkins • Graph databases, e.g. Neo4J • Columnar data stores, e.g. Amazon Redshift, BigQuery • Social networks APIs, e.g. Facebook, Twitter, LinkedIn • Data pipeline and streaming tech, e.g. Apache Kafka, Apache Spark
          Big Data Engineer - TVN S.A. - Warszawa, mazowieckie      Cache   Translate Page      
BĘDZIESZ ODPOWIEDZIALNY/A ZA: Budowę nowych, i utrzymywanie istniejących, rozwiązań Big Data Utrzymywanie odpowiednich standardów rozwoju oprogramowania...
Od TVN S.A. - Fri, 31 Aug 2018 17:09:32 GMT - Pokaż wszystkie Warszawa, mazowieckie oferty pracy
          DevOps Engineer - TenTek - Seattle, WA      Cache   Translate Page      
The applications that we are supporting Datawarehouse and big data framework. Basic Qualifications • Configuration management and orchestration (e.g....
From TenTek - Fri, 31 Aug 2018 00:17:12 GMT - View all Seattle, WA jobs
          Data Engineer - Amazon.com - Seattle, WA      Cache   Translate Page      
Good working knowledge of RDBMS and Datawarehouse environment. Amazon Big Data team is looking for a Sr....
From Amazon.com - Tue, 21 Aug 2018 01:25:16 GMT - View all Seattle, WA jobs
          Big Data Developer - Vivifi Tech - Dallas, TX      Cache   Translate Page      
Strong Datawarehouse concepts and fundamentals. 5 or more years if IT development work experience (end-end design, development) for Datawarehouse, BI reporting... $55 - $60 an hour
From Indeed - Fri, 24 Aug 2018 22:54:02 GMT - View all Dallas, TX jobs
          Executive Director- Machine Learning & Big Data - JP Morgan Chase - Jersey City, NJ      Cache   Translate Page      
We would be partnering very closely with individual lines of business to build these solutions to run on either the internal and public cloud....
From JPMorgan Chase - Fri, 20 Jul 2018 13:57:18 GMT - View all Jersey City, NJ jobs
          (USA-NJ-Somerset) Solution Architect      Cache   Translate Page      
Responsible for the end-to-end technical design of the complete solution which addresses the customer’s business problems, needs, and opportunities, including both the company products and services plus all necessary third-party components (e.g. software, hardware, consulting). Is aligned to a single or small group of related solutions (such as cloud, big data, mobility, etc.) that are aligned with the company's corporate strategy. This position reports on-site at AT&T in Middletown, NJ. The responsibilities include but are not limited to: + Applies advanced knowledge of company products and solutions as well as customers' business and technical environment to translate the functional view into a technical view and architect complex solutions that can be scaled to accommodate growth. + Participates in deep-dive discussions and is able to articulate the value proposition, define key differentiators, and draft high level solution designs by mapping datacenter technologies to customers' technical and business challenges. Demonstrates this knowledge by effectively countering competitive point-product claims with the benefits of datacenter broad suite of total solutions, open platform approach, and technical innovations. + Monitors the account pipeline and nurtures active deals from opportunity to close. In addition, builds the pipeline by identifying missed or new opportunities within the account + Builds on existing customer relationship by designing end-to-end architecture for solutions aligned to the customer's business needs, within the specified scope and budget. + Mentors presales peers, account managers, and other partners on account, solution, and technological knowledge through best practice sharing. + Tracks industry developments for specific domains by attending conferences and industry events, and monitoring social media. Additionally, may contribute to industry developments utilizing those same methods. + Bachelor’s degree in engineering or from technical university. + 10+ years of experience in technology industry with focus on technical consulting and solution selling. + Demonstrates deep technical understanding of assigned solution set and knowledge of leading edge and emerging technologies. + Good knowledge of the company offerings, strategic initiatives, current trends, partner and competitor products and strategies within the assigned solution set. + Solid project management skills or experience with excellent analytical and problem solving skills, including appropriate due diligence. + Excellent written and verbal communication skills and mastery over English and local languages. + Strong business and financial acumen, with an understanding of functional responsibilities of various customer business roles. + Knowledge-based and experienced-based industry certifications strongly preferred + Demonstrates excellent consultative selling techniques, including active listening, framing, white boarding, storytelling etc. + Knowledge of company business and technical tools and standard CRM systems and tools + Working knowledge and usage of social media, blogging, and related information sharing technologies + Experience participating in solution configurations/ overall architecture design and the creation of PoCs to meet customer requirements. Equal Employment Opportunity – M/F/Disability/Protected Veteran Status Requisition ID: 2018-2040 External Company Name: SHI International External Company URL: https://www.shi.com/
          Technology Lead | Big Data | Hbase - Klein Management Systems - San Francisco, CA      Cache   Translate Page      
Other object-oriented design experience, experience applying design patterns, and UML familiarity is essential....
From Klein Management Systems - Mon, 27 Aug 2018 17:28:20 GMT - View all San Francisco, CA jobs
          Big Data Engineer - TVN S.A. - Warszawa, mazowieckie      Cache   Translate Page      
BĘDZIESZ ODPOWIEDZIALNY/A ZA: Budowę nowych, i utrzymywanie istniejących, rozwiązań Big Data Utrzymywanie odpowiednich standardów rozwoju oprogramowania...
Od TVN S.A. - Fri, 31 Aug 2018 17:09:32 GMT - Pokaż wszystkie Warszawa, mazowieckie oferty pracy
          Adjunct Professor - Marketing - Niagara University - Lewiston, NY      Cache   Translate Page      
Social Media and Mobile Marketing. Prepares and grades tests, work sheets and projects to evaluate students; Food &amp; CPG Marketing. Big Data Analytics....
From Niagara University - Tue, 17 Jul 2018 23:33:14 GMT - View all Lewiston, NY jobs
          Episode 38: #38: Penchant for Hyperbole      Cache   Translate Page      

This week, Dave and Gunnar talk about: watching your email, hearing your GnuPG key, the smell of fresh-baked OpenStack, a taste of ARM on Fedora, a touch of Skynet.

RSS Icon#source%3Dgooglier%2Ecom#https%3A%2F%2Fgooglier%2Ecom%2Fpage%2F%2F10000 Subscribe via RSS or iTunes.

Hyperbole

This episode’s title is dedicated to Peter Larsen. We heard you, and welcome your feedback!

Cutting Room Floor

We Give Thanks

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          Episode 30: #30: Sequestration and Subscriptions      Cache   Translate Page      

This week, Dave and Gunnar talk about Vulcan death grips, death from above, and the death of the open source business model.

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A Hill Staffer checks his phone as Capitol Hill police take aim on the grounds of the Capitol.A Hill Staffer checks his phone as Capitol Hill police take aim on the grounds of the Capitol.

Cutting Room Floor

We Give Thanks

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          Episode 20: #20: CommaFeed with a Bullet      Cache   Translate Page      

This week, Dave and Gunnar talk about Le PRISM, Slashdot Gunnarbait, OpenStack Security Guide, the Indie Web, a petabyte of tax data, and an interview with the creator of CommaFeed.

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wpid-IMG_20130703_181522.jpgWelcome to Texas, Gunnar.

The Alamo Drafthouse TicketbotThe Alamo Drafthouse Ticketbot

Cutting Room Floor

We Give Thanks

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          BI Development Manager - Nintendo of America Inc. - Redmond, WA      Cache   Translate Page      
Legacy DW transformation to Big Data experience is a plus. Nintendo of America Inc....
From Nintendo - Wed, 01 Aug 2018 14:28:49 GMT - View all Redmond, WA jobs
          Principal Program Manager - Microsoft - Redmond, WA      Cache   Translate Page      
Job Description: The Azure Big Data Team is looking for a Principal Program Manager to drive Azure and Office Compliance in the Big Data Analytics Services ...
From Microsoft - Sat, 28 Jul 2018 02:13:20 GMT - View all Redmond, WA jobs
          Consultor BI (SSAS, SSIS, SSRS) - DRAGO SOLUTIONS - Madrid, Madrid provincia      Cache   Translate Page      
Drago Solutions del grupo Devoteam, somos una consultora tecnológica muy orientada a la consultoría BI, Business Analytics y Big Data....
De DRAGO SOLUTIONS - Fri, 07 Sep 2018 13:44:44 GMT - Ver todo: empleo en Madrid, Madrid provincia
          Analista Programador SSIS,SSRS,MDX, Madrid - Drago - Madrid, Madrid provincia      Cache   Translate Page      
Drago Solutions del grupo Devoteam, somos una consultora tecnológica muy orientada a la consultoría BI, Business Analytics y Big Data....
De Tecnoempleo - Wed, 22 Aug 2018 10:40:47 GMT - Ver todo: empleo en Madrid, Madrid provincia
          Consultor BI- Datastage - DRAGO SOLUTIONS - Madrid, Madrid provincia      Cache   Translate Page      
Drago Solutions del grupo Devoteam, somos una consultora tecnológica muy orientada a la consultoría BI, Business Analytics y Big Data....
De DRAGO SOLUTIONS - Tue, 19 Jun 2018 13:45:54 GMT - Ver todo: empleo en Madrid, Madrid provincia
          Analista Programador Oracle (PL/SQL) - DRAGO SOLUTIONS - Madrid, Madrid provincia      Cache   Translate Page      
Descripción: Drago Solutions del grupo Devoteam,somos una consultora tecnológica muy orientada a la consultoría BI, Business Analytics y Big Data. Contamos...
De DRAGO SOLUTIONS - Thu, 14 Jun 2018 13:43:31 GMT - Ver todo: empleo en Madrid, Madrid provincia
          Project Manager Big Data - SINELEC S.p.A. - Tortona, Piemonte      Cache   Translate Page      
Studiare ed analizzare soluzioni analoghe già presenti o in via di immissione sul mercato, onde garantire la competitività in termini di costi e/o prestazioni...
Da SINELEC S.p.A. - Mon, 10 Sep 2018 20:53:38 GMT - Visualizza tutte le offerte di lavoro a Tortona, Piemonte
          Big data software entwickler for social media      Cache   Translate Page      
Anbieter: IBM
IBM Watson Analytics for Social Media ist ein IBM Produkt zur Analyse von...
Von: 13.09.2018 09:03 · Ort: D-79268 Bötzingen, Baden-Württemberg
Diese Stellenanzeige Nr. 1.112.519.088
: ansehen · merken · weiterempfehlen

          Arcadia Introduces Search-Based BI and Analytics for Enterprise      Cache   Translate Page      
Depositphotos_34705983_s-2015

The update is designed to simplify natural language search on big data for improved BI.

The post Arcadia Introduces Search-Based BI and Analytics for Enterprise appeared first on RTInsights.


          Business Strategy, Sr. Manager - Hortonworks - Dallas, TX      Cache   Translate Page      
Business Strategy, Leadership Opportunity. Experience in the Software and/or Business Impact of Analytics, Big Data, Machine Learning/AI, Cloud is a plus....
From Hortonworks - Mon, 23 Jul 2018 20:31:09 GMT - View all Dallas, TX jobs
          Business Strategy, Sr. Manager - Hortonworks - Atlanta, GA      Cache   Translate Page      
Business Strategy, Leadership Opportunity. Experience in the Software and/or Business Impact of Analytics, Big Data, Machine Learning/AI, Cloud is a plus....
From Hortonworks - Mon, 23 Jul 2018 20:31:09 GMT - View all Atlanta, GA jobs
          Zacks Investment Research Downgrades Progress Software (NASDAQ:PRGS) to Hold      Cache   Translate Page      
Zacks Investment Research cut shares of Progress Software (NASDAQ:PRGS) from a buy rating to a hold rating in a report issued on Wednesday, August 29th. According to Zacks, “Progress offers the leading platform for developing and deploying mission-critical business applications. Progress empowers enterprises and ISVs to build and deliver cognitive-first applications that harness big data […]
          DevOps Engineer Python Agile Docker      Cache   Translate Page      
DevOps Engineer (Python OO Linux Cloud Kubernetes Docker Jenkins). Utilise your DevOps Engineer skills within a successful data science consultancy that is working with some of the best software vendors in the industry on a range of interesting projects such as Data Lake solutions, Blockchain projects and IoT development. The company cultivate a continuous learning environment enabling you to stay ahead of the game with the latest industry trends and upon starting will enrol you on a course that covers Big Data, DevOps and Data Science allowing you to perform to the best of your ability. As a DevOps Engineer you will be acting as a consultant, travelling to a variety of London based clients and participating in leading edge projects. You will be required to provide hands-on technical expertise for clients utilising the best of Open Source software on premise and in the Cloud. This is the first DevOps hire within the London office meaning you will be able to make the role your own and have the opportunity to take on a leadership position, building a successful team around you. Based in London, you will be joining a friendly and supportive company that will encourage you to continually develop new skills allowing you to reach your full potential. Requirements: *Experience with DevOps culture and Agile project delivery *Software development background using any OO programming language (Java, C++, C#) *Strong Python skills *Experience with containerisation and deployment tools (Docker, Kubernetes, Jenkins) *Good Linux knowledge *Cloud experience *Able to travel to client sites across London *Excellent communication skills As a DevOps Engineer (Python) you can expect to earn a competitive salary (up to £85k) plus benefits. Apply today or call to have a confidential discussion about this DevOps Engineer (Python) role.
          AEM Architect      Cache   Translate Page      
NJ-Morris Plains, AEM Architect Driving Infinite Possibilities Within A Diversified, Global Organization Join a company that is transforming from a traditional industrial company to a contemporary digital industrial business, harnessing the power of cloud, big data, analytics, Internet of Things, and design thinking. You will lead change that brings value to our customers, partners, and shareholders through the cre
          Data Center Network Architect      Cache   Translate Page      
AZ-Tempe, Data Center Network Architect Innovate to solve the world's most important challenges Join a company that is transforming from a traditional industrial company to a contemporary digital industrial business, harnessing the power of cloud, big data, analytics, Internet of Things, and design thinking. You will support change that brings value to our customers, partners, and shareholders through the c
          4 Things You Need To Know About Big Data And Artificial Intelligence      Cache   Translate Page      
The winners in the cognitive era will not be those who can reduce costs the fastest, but those who can unlock the most value over the long haul. Related posts: 4 Ways Every Business Needs To Use...

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          Big Data Instructor - busyQA Inc - Mississauga, ON      Cache   Translate Page      
Our customers include Klick Health, Moss Consultants, IBM, ADT, Tycos, eHealth Ontario and twoPLUGS. Visit our site:.... $50 an hour
From Indeed - Mon, 10 Sep 2018 15:05:48 GMT - View all Mississauga, ON jobs
          Hadoop Engineer      Cache   Translate Page      
CA-null, RESPONSIBILITIES: Kforce has a client in search of a Hadoop Engineer in California (CA). Key Tasks: Responsible for solution technical architecture, logical and physical design of use cases that will be deployed in the big data platform Perform cluster maintenance and operation automation and planning Responsible for end-to-end implementation of big data use cases from implementation, testing and
          Sep 28, 2018: Northeastern Energy Conference      Cache   Translate Page      

An opportunity for students and faculty to interact with a variety of different comapnies and professionals from the energy field. The objective of this conference will be to address pressing energy issues and how to mitigate them in an interdisciplinary manner. Events Include: Keynote Speakers - Mr. Sakellaris (President/CEO of Ameresco) and Mr. McCabe (President/CEO of Onshore Wind/GE Renewable Energy) Other Panel Topics Future of the Built Environment Paris Agreement Corporate Sustainability Innovations in Storage Road to Decarbonization AI and Big Data in Smart Grids Energy Finance Is...

View on site | Email this event


          Digital Platforms Security Engineer      Cache   Translate Page      
Request Technology - Robyn Honquest - Chicago, IL - Security configurations across digital platforms. This role is responsible for ensuring applications, networks, and software systems/mobile... configurations and connections across all digital platforms including SAP/ERP, Google Cloud/Big Data, Salesforce/CRM, Tableau/Business Intelligence...
          Big Data      Cache   Translate Page      
(Buch) Big Data verändert die Gesellschaft - es gibt kein Entkommen Am Supermarkt geben wir der Kassiererin beim Bezahlen ein Kärtchen, auf dessen Chip unsere Treuepunkte vermerkt sind, und durch den die Supermarktkette unser Einkaufsverhalten kennenlernt. Jacoby & Stuart, 64 Seiten, Verlagspreis: 15,00 EUR - arvelle.de-Preis: 7,99 EUR (Mängelexemplar)
          Project Manager Big Data - SINELEC S.p.A. - Tortona, Piemonte      Cache   Translate Page      
Studiare ed analizzare soluzioni analoghe già presenti o in via di immissione sul mercato, onde garantire la competitività in termini di costi e/o prestazioni...
Da SINELEC S.p.A. - Mon, 10 Sep 2018 20:53:38 GMT - Visualizza tutte le offerte di lavoro a Tortona, Piemonte
          Keeping it All Running with IIoT: Visibility, Control, & Agility for Manufacturing      Cache   Translate Page      
The convergence of IIoT with advanced analytics, big data capabilities, and emerging technologies has opened a world of innovation, automation, and optimization opportunities for manufacturers worldwide.
          さえ (sae)      Cache   Translate Page      
さえ (sae)

    Meaning: even; only; just
    Example: I can't even see it

  [ View this entry online ]

  Notes:  
Verb-masu stem
 尋ねさえ  > just ask
 待ってさえ > just wait

V-te
 使ってさえ = just use

Noun
 あなたさえよければ = if its OK with you
 
irregular:
 する > しさえ = if you just do..
      勉強しさえ = only study
 くる > 来さえ (きさえ)> just come
      ついてきさえ > just follow

often used with ーば
 意見を述べさえすればよい。
 If you just tell us your opinion it would be great.

negative
 見えます > 見えさえしない
 can NOT even see


note this usage:

○ 見ることさえしない
  cannot even see

○ 見さえしない
  did not even look

× 見るさえない 
  incorrect
sae and sura are slightly formal. an informal way of saying "even" is with mo
見ることもできない - cannot even see


  Examples:  
Note: visit WWWJDIC to lookup any unknown words found in the example(s)...
Alternatively, view this page on POPjisyo.com or Rikai.com


Help JGram by picking and editing examples!!   See Also:  
[ Add a See Also ]

  Comments:  
  • Is there a way to use this with verbs?
     見えないさえ、絶対読めない
     I can't even see it, of course I can't read it. (contributor: dc)
  • 見えさえ_しない、絶対読めない。;)
    This would be more natural Japanese.
    定規を使ってさえ、まっすぐに線が引けない。
    Even useing a ruler, he cannot draw a straight line. (contributor: Miki)
  • #115 sounds like a baby talk. 「満腹で」or 「食べ過ぎて」would be more appropriate. #360 can be improved by saying 「飢餓の極限では」(At the extreme hunger).

    (contributor: bamboo4)
  • ex#115 in girls talk it is used like もうお腹がいっぱい過ぎて、デザートさえ食べられないよ。 (contributor: your name)
  • #3184 is a bad Japanese, and it also does not correspond with the English version. 見さえしない means "does not even look at it" from which 絶対読めない does not follow, since it means "in no event can it be read." (contributor: bamboo4)
  • Delete #3184. (contributor: bamboo4)
  • I changed #3184 to be along miki's first comment. Is this correct now? I think a negative example is needed on this page. (contributor: dc)
  • dc, you really changed #3184? It's still 変 x2. (contributor: Miki)
  • #3184 is a bad example. You can change it to read 見ることさえできないのに読める筈がない.
    (contributor: bamboo4)
  • i changed #3184 again, and added bamboos as an alt. (contributor: dc)
  • but the alt didnt seem to get saved. hmm. (contributor: dc)
  • When さえ is connected to a noun, the particles "が" and "を" are omitted. (contributor: angelitosh2004)
  • The word さえ defines the limits of something, and is used to emphasize the statement made following it. It may imply a feeling of surprise or blame. (contributor: angelitosh2004)
  • angeli - good comments - but could you give examples please? (contributor: dc)
  • sae is an emphatic partical which express the idea of EVEN or ONLY, in conditional clauses.
    this word can be used as a noun following partical or following a te-form. in the combination with ba form (conditional), it is used as JUST or IF (contributor: prachi)
  • parachi's comment is all garble to me. Come up with an example to show what you mean. (contributor: bamboo4)
  • About the translation of Example 3644..The translation i suggest is that..The only thing you have to do is to press this button..I think..If we understand by this way..We are able to emphasize the wanna talk to the opposite people..I am so sorry if there was something wrong. (contributor: gahoangdai)

    [ Add a Comment ]

          Big Data Principal Architect North America | Remote | Work From Home - Pythian - Job, WV      Cache   Translate Page      
Real-time Hadoop query engines like Dremel, Cloudera Impala, Facebook Presto or Berkley Spark/Shark. Big Data Principal Architect....
From Pythian - Fri, 18 May 2018 21:42:57 GMT - View all Job, WV jobs
          Data Engineer - Protingent - Redmond, WA      Cache   Translate Page      
Experience with Big Data query languages such as Presto, Hive. Protingent has an opportunity for a Data Engineer at our client in Redmond, WA....
From Protingent - Fri, 13 Jul 2018 22:03:34 GMT - View all Redmond, WA jobs
          Sr BI Developer [EXPJP00002633] - Staffing Technologies - Bellevue, WA      Cache   Translate Page      
Experience in AWS technologies such as EC2, Cloud formation, EMR, AWS S3, AWS Analytics required Big data related AWS technologies like HIVE, Presto, Hadoop...
From Staffing Technologies - Tue, 19 Jun 2018 22:23:35 GMT - View all Bellevue, WA jobs
          Senior Software Engineer, Cloud Engineering - ExtraHop Networks, Inc. - Seattle, WA      Cache   Translate Page      
Experience with data science information processing pipeline (Spark / Presto / SQL / Hadoop / HBASE). Big Data, the cloud, elastic computing, SaaS, AWS, BYOD,...
From ExtraHop Networks, Inc. - Tue, 11 Sep 2018 18:44:58 GMT - View all Seattle, WA jobs
          Big Data Engineering Manager - Economic Data - Zillow Group - Seattle, WA      Cache   Translate Page      
Experience with the Big Data ecosystem (Spark, Hive, Hadoop, Presto, Airflow). About the team....
From Zillow Group - Sat, 08 Sep 2018 01:05:50 GMT - View all Seattle, WA jobs
          Principal Data Labs Solution Architect - Amazon.com - Seattle, WA      Cache   Translate Page      
Implementation and tuning experience in the Big Data Ecosystem, (such as EMR, Hadoop, Spark, R, Presto, Hive), Database (such as Oracle, MySQL, PostgreSQL, MS...
From Amazon.com - Fri, 07 Sep 2018 19:22:14 GMT - View all Seattle, WA jobs
          Software Development Engineer, Big Data - Zillow Group - Seattle, WA      Cache   Translate Page      
Experience with Hive, Spark, Presto, Airflow and or Python a plus. About the team....
From Zillow Group - Fri, 07 Sep 2018 01:05:52 GMT - View all Seattle, WA jobs
          Senior Software Development Engineer – Big Data, AWS Elastic MapReduce (EMR) - Amazon.com - Seattle, WA      Cache   Translate Page      
Amazon EMR is a web service which enables customers to run massive clusters with distributed big data frameworks like Apache Hadoop, Hive, Tez, Flink, Spark,...
From Amazon.com - Wed, 05 Sep 2018 01:21:08 GMT - View all Seattle, WA jobs
          Data Architect, Big Data - Amazon.com - Seattle, WA      Cache   Translate Page      
Familiarity with one or more SQL-on-Hadoop technology (Hive, Pig, Impala, Spark SQL, Presto). Are you a Big Data specialist?...
From Amazon.com - Fri, 31 Aug 2018 01:21:07 GMT - View all Seattle, WA jobs
          Systems Engineer at Cisco Nigeria      Cache   Translate Page      
Cisco - The Internet of Everything is a phenomenon driving new opportunities for Cisco and it&#39;s transforming our customers&#39; businesses worldwide. We are pioneers and have been since the early days of connectivity. Today, we are building teams that are expanding our technology solutions in the mobile, cloud, security, IT, and big data spaces, including software and consulting services.As Cisco delivers the network that powers the Internet, we are connecting the unconnected. Imagine creating unprecedented disruption. Your revolutionary ideas will impact everything from retail, healthcare, and entertainment, to public and private sectors, and far beyond. Collaborate with like-minded innovators in a fun and flexible culture that has earned Cisco global recognition as a Great Place To Work. With roughly 10 billion connected things in the world now and over 50 billion estimated in the future, your career has exponential possibilities at Cisco.We are recruiting to fill the position below:Job Title: Systems EngineerJob Id: 1241554Location:&nbsp;Lagos, NigeriaArea of Interest: Engineer - NetworkJob Type: ProfessionalJob DescriptionsIts a pre-sales technical role, showcasing Cisco product solutions-setting up demonstrations and explaining features and benefits to customers-and designing and configuring products to meet specific customer needs.Gain access to the broad palette of Cisco technologies and applications in a variety of vertical markets. In additional to technological aptitude, and the ability to learn quickly and stay current, the ideal candidate&#39;s interpersonal, presentation and troubleshooting skills evoke passion and confidence.Direct account and partner responsibilities for selected accounts in assigned territory.Keep up-to-date on relevant competitive solutions, products and services.Provide technical and sales support for accounts in assigned territory Perform technical presentations for customers, partners and prospects.Assist with the development of formal sales plans and proposals for assigned opportunities.Actively participate as a specialist on assigned Virtual Team and provides consultative support in their area of specialization to other Systems Engineers.Security as an area of specialization is desirable&nbsp;

Apply at https://ngcareers.com/job/2018-09/systems-engineer-at-cisco-nigeria-450/


          Distributor Account Manager at Cisco Nigeria      Cache   Translate Page      
Cisco - The Internet of Everything is a phenomenon driving new opportunities for Cisco and it&#39;s transforming our customers&#39; businesses worldwide. We are pioneers and have been since the early days of connectivity. Today, we are building teams that are expanding our technology solutions in the mobile, cloud, security, IT, and big data spaces, including software and consulting services.As Cisco delivers the network that powers the Internet, we are connecting the unconnected. Imagine creating unprecedented disruption. Your revolutionary ideas will impact everything from retail, healthcare, and entertainment, to public and private sectors, and far beyond. Collaborate with like-minded innovators in a fun and flexible culture that has earned Cisco global recognition as a Great Place To Work. With roughly 10 billion connected things in the world now and over 50 billion estimated in the future, your career has exponential possibilities at Cisco.We are recruiting to fill the position below:Job Title: Distributor Account ManagerJob Id: 1241678Location:&nbsp;Lagos, NigeriaArea of Interest: Engineer Pre Sales and Product ManagementJob Type: ProfessionalJob DescriptionsThe DAM would be the strategic lead to expand the business with our distributors in West AfricaManage the recruitment, activation and growth of Select and registered partnersDrive distributor enablement for DAP reseller base with reponsibility for transparent and measurable investment of Marketing and enablement fund swith strong integration of Cisco Partner programsClosely align with commercial sales teams to ensure correct lead routing, follow up for distribution partner generated leads.&nbsp;

Apply at https://ngcareers.com/job/2018-09/distributor-account-manager-at-cisco-nigeria-309/


          Architecte Cloud AWS F/H - Sopra Steria - Toulouse      Cache   Translate Page      
Sopra Steria, fort de près de 42 000 collaborateurs dans plus de 20 pays, propose l'un des portefeuilles d'offres les plus complets du marché : conseil, intégration de systèmes, édition de solutions métier, infrastructure management et business process services. En forte croissance, le Groupe accueillera 3 100 talents en 2018 en France pour participer à ses projets d'envergure sur l'ensemble de ses métiers. L'émergence du Cloud, de l'internet des objets et du Big Data pousse nos...
          Architecte Cloud Google F/H - Sopra Steria - Toulouse      Cache   Translate Page      
Sopra Steria, fort de près de 42 000 collaborateurs dans plus de 20 pays, propose l'un des portefeuilles d'offres les plus complets du marché : conseil, intégration de systèmes, édition de solutions métier, infrastructure management et business process services. En forte croissance, le Groupe accueillera 3 100 talents en 2018 en France pour participer à ses projets d'envergure sur l'ensemble de ses métiers. L'émergence du Cloud, de l'internet des objets et du Big Data pousse nos...
          Expert Systèmes Linux F/H - Sopra Steria - Toulouse      Cache   Translate Page      
Sopra Steria, fort de près de 42 000 collaborateurs dans plus de 20 pays, propose l'un des portefeuilles d'offres les plus complets du marché : conseil, intégration de systèmes, édition de solutions métier, infrastructure management et business process services. En forte croissance, le Groupe accueillera 3 100 talents en 2018 en France pour participer à ses projets d'envergure sur l'ensemble de ses métiers. L'émergence du Cloud, de l'internet des objets et du Big Data pousse nos...
          Expert Systèmes Windows F/H - Sopra Steria - Toulouse      Cache   Translate Page      
Sopra Steria, fort de près de 42 000 collaborateurs dans plus de 20 pays, propose l'un des portefeuilles d'offres les plus complets du marché : conseil, intégration de systèmes, édition de solutions métier, infrastructure management et business process services. En forte croissance, le Groupe accueillera 3 100 talents en 2018 en France pour participer à ses projets d'envergure sur l'ensemble de ses métiers. L'émergence du Cloud, de l'internet des objets et du Big Data pousse nos...
          Chef de Projet / Service Manager IT F/H - Sopra Steria - Toulouse      Cache   Translate Page      
Sopra Steria, fort de près de 42 000 collaborateurs dans plus de 20 pays, propose l'un des portefeuilles d'offres les plus complets du marché : conseil, intégration de systèmes, édition de solutions métier, infrastructure management et business process services. En forte croissance, le Groupe accueillera 3 100 talents en 2018 en France pour participer à ses projets d'envergure sur l'ensemble de ses métiers. L'émergence du Cloud, de l'internet des objets et du Big Data pousse nos...
          Project Management Officer IT F/H - Sopra Steria - Toulouse      Cache   Translate Page      
Sopra Steria, fort de près de 42 000 collaborateurs dans plus de 20 pays, propose l'un des portefeuilles d'offres les plus complets du marché : conseil, intégration de systèmes, édition de solutions métier, infrastructure management et business process services. En forte croissance, le Groupe accueillera 3 100 talents en 2018 en France pour participer à ses projets d'envergure sur l'ensemble de ses métiers. L'émergence du Cloud, de l'internet des objets et du Big Data pousse nos...
          Azure IoT Architect / Data Engineer - CAN - Hitachi Consulting Corporation US - Toronto, ON      Cache   Translate Page      
Big Data platforms e.g. Azure DW, SQL PDW, Cloudera, Hortonworks. Azure IoT Architect / Data Engineer....
From Hitachi - Wed, 11 Jul 2018 18:17:23 GMT - View all Toronto, ON jobs
          Solution Architect Big Data - Wipro LTD - Burnaby, BC      Cache   Translate Page      
Databases-Oracle , PDW, SQl server. SSRS - SQL Server Reporting Services, Microsoft BI....
From Wipro LTD - Wed, 01 Aug 2018 16:48:21 GMT - View all Burnaby, BC jobs
          Architecte Cloud AWS F/H - Sopra Steria - Toulouse      Cache   Translate Page      
Sopra Steria, fort de près de 42 000 collaborateurs dans plus de 20 pays, propose l'un des portefeuilles d'offres les plus complets du marché : conseil, intégration de systèmes, édition de solutions métier, infrastructure management et business process services. En forte croissance, le Groupe accueillera 3 100 talents en 2018 en France pour participer à ses projets d'envergure sur l'ensemble de ses métiers. L'émergence du Cloud, de l'internet des objets et du Big Data pousse nos...
          Architecte Cloud Google F/H - Sopra Steria - Toulouse      Cache   Translate Page      
Sopra Steria, fort de près de 42 000 collaborateurs dans plus de 20 pays, propose l'un des portefeuilles d'offres les plus complets du marché : conseil, intégration de systèmes, édition de solutions métier, infrastructure management et business process services. En forte croissance, le Groupe accueillera 3 100 talents en 2018 en France pour participer à ses projets d'envergure sur l'ensemble de ses métiers. L'émergence du Cloud, de l'internet des objets et du Big Data pousse nos...
          Expert Systèmes Linux F/H - Sopra Steria - Toulouse      Cache   Translate Page      
Sopra Steria, fort de près de 42 000 collaborateurs dans plus de 20 pays, propose l'un des portefeuilles d'offres les plus complets du marché : conseil, intégration de systèmes, édition de solutions métier, infrastructure management et business process services. En forte croissance, le Groupe accueillera 3 100 talents en 2018 en France pour participer à ses projets d'envergure sur l'ensemble de ses métiers. L'émergence du Cloud, de l'internet des objets et du Big Data pousse nos...
          Expert Systèmes Windows F/H - Sopra Steria - Toulouse      Cache   Translate Page      
Sopra Steria, fort de près de 42 000 collaborateurs dans plus de 20 pays, propose l'un des portefeuilles d'offres les plus complets du marché : conseil, intégration de systèmes, édition de solutions métier, infrastructure management et business process services. En forte croissance, le Groupe accueillera 3 100 talents en 2018 en France pour participer à ses projets d'envergure sur l'ensemble de ses métiers. L'émergence du Cloud, de l'internet des objets et du Big Data pousse nos...
          Chef de Projet / Service Manager IT F/H - Sopra Steria - Toulouse      Cache   Translate Page      
Sopra Steria, fort de près de 42 000 collaborateurs dans plus de 20 pays, propose l'un des portefeuilles d'offres les plus complets du marché : conseil, intégration de systèmes, édition de solutions métier, infrastructure management et business process services. En forte croissance, le Groupe accueillera 3 100 talents en 2018 en France pour participer à ses projets d'envergure sur l'ensemble de ses métiers. L'émergence du Cloud, de l'internet des objets et du Big Data pousse nos...
          Project Management Officer IT F/H - Sopra Steria - Toulouse      Cache   Translate Page      
Sopra Steria, fort de près de 42 000 collaborateurs dans plus de 20 pays, propose l'un des portefeuilles d'offres les plus complets du marché : conseil, intégration de systèmes, édition de solutions métier, infrastructure management et business process services. En forte croissance, le Groupe accueillera 3 100 talents en 2018 en France pour participer à ses projets d'envergure sur l'ensemble de ses métiers. L'émergence du Cloud, de l'internet des objets et du Big Data pousse nos...
          Senior Developer, Software Engineer, OOP, Microservices, Big Data      Cache   Translate Page      
Haybrook IT Resourcing - Oxford - Senior Developer, Software Engineer, OOP, Microservices, Big Data My client an esteemed technology company is looking for Senior Software...
          Big Data Engineer - CONTRACT - Central London      Cache   Translate Page      
Oliver Bernard - London - Job Description Big Data Engineer - CONTRACT - Central London Market leading travel company looking for a Big Data Engineer (Hadoop..., TDD, Java, Scala) to join this team of cross-functional Agile professionals in Central London. The successful Big Data Engineer (Hadoop, TDD...
          IT Big Data Manager, Product Line Owner, Data Management - Johnson & Johnson Family of Companies - Raritan, NJ      Cache   Translate Page      
Oversees internal and external collaborations. Pharma Industry preferred, technical knowledge of data platforms and software technology, knowledge of business...
From Johnson & Johnson Family of Companies - Tue, 28 Aug 2018 01:40:49 GMT - View all Raritan, NJ jobs
          Business Analysis Manager - Business Intelligence - T-Mobile - Bellevue, WA      Cache   Translate Page      
Entrepreneurial spirit and interest in advance analytics, big data, machine learning, and AI. Do you enjoy using data to influence technology, operations and...
From T-Mobile - Sat, 11 Aug 2018 03:32:36 GMT - View all Bellevue, WA jobs
          Haier Biomedical saves lives by moving the blood bank right beside the patient      Cache   Translate Page      

The laboratory equipment manufacturer's Rendanheyi management model empowers the transformation of the biotechnology ecosystem

QINGDAO, China, Sept. 13, 2018 /PRNewswire/ -- Transfusion medicine has been around and under constant improvement for more than 300 years and and nowadays its delivery system of clinical blood has witnessed a landmark change. In order to address such blood-related issues as blood safety, its source and efficacy, China-based Haier Biomedical has co-created the world's first U-Blood platform ecosystem. It fundamentally ensures the safety of clinical blood and the sharing of blood resources, offering a value-added user experience for all parties involved.

Haier Biomedical saves lives by moving the blood bank to the patient's bedside
Haier Biomedical saves lives by moving the blood bank to the patient's bedside

Countries around the world have been striving continually to improve their clinical blood services. And the US, being the leader in healthcare industry, has launched an advanced blood management solution. By moving type O emergency blood to the operating room, it vastly reduces the time for transferring the needed life-saving substance to patients' side. With its proven efficiency, it has recently been deployed at Johns Hopkins Hospital.

Under that circumstance, Haier Biomedical's U-Blood solution has vastly improved the efficiency of blood banks by literally placing the blood bank to where it is needed most - right next to the patient's bed, which pushes the efficiency to a new level well beyond the current US standards. Through innovations in RFID IoT technology, the management model has shifted from centralized to decentralized type. The new model innovatively moves smart blood refrigerators to the operating room, hospital ward and the ambulance, achieving the end-to-end monitoring and traceability of all blood information. As a result of that, the blood is instantly accessible at hand, cutting off the valuable and life-saving time needed to deliver the blood to the patient. In addition, the Blood which is not used during the course of the surgery can be restored to the blood bank via the U-Blood monitoring equipment, which ensures true sharing of blood information and increases the hospital's surgery capacity.

In order to further improve the blood use experience, efforts are being made to provide the precise amount of blood needed for each transfusion by developing a customized and personalized program. Furthermore, with the application of big data and artificial intelligence (AI), the patient's consumption of blood will be comprehensively evaluated. And there is a tailored blood use program developed for monitoring the patient's condition and diagnostic data across the entire U-Blood platform ecosystem. For example, what may have been previously required for four units of blood can be reduced to a precise need of two, as a result of a profile generated via AI, avoiding the overuse and waste of blood and accelerating the patient's recovery.

According to authoritative analysis made by experts in the industry, U-Blood has created a new blood use model and experience which is worthy of applying around the world. To be more specific, in some recent use cases, has, at the Affiliated Hospital of Qingdao University and at the Chinese PLA General Hospital (301 Hospital) in Beijing, the U-Blood has proved its ability to offer values to hospitals, stakeholders and especially the customers. In a word, on the one hand it increases the efficiency of clinical blood use, at which blood can be acquired within one minute during the surgical process to ensure timely delivery to the patient; on the other hand it delivers precisely the right amount of blood through a personalized program, avoiding any possible harm caused by excessive infusion to the patient.

Haier Biomedical has completed its transformation from the world's prominent full cold chain brand to an IoT-ready biotechnology platform ecosystem. And it has taken the lead in creating the U-Blood platform to eliminate the "information silo" by connecting hospitals, blood centers and governments, which enables the interoperability, traceability, and information sharing of all the blood resources. Being innovative with the move to transfer blood bank to the patient's bedside and the ability to deliver the precise amount of blood needed, the solution ultimately enables an evolution in user experience with the implementation of the ecosystem. Furthermore, in the future, this ecosystem can be extended to a 5U biotechnology platform - a Haier Biomedical's platform bringing together the blood, biobank, vaccine, reagent and stem cell solutions, which can efficiently accelerate the development of the global healthcare sector.

Notably, the Rendanheyi management model has played a leading role in the creation of Haier Biomedical's platform ecosystem. Recognized as the first-of-its-kind and a revolutionary management model since the third industrial revolution, Rendanheyi has guided Haier Biomedical to transform from an equipment exporter to a business incubator. By integrating the ecosystem, the revenue derived from the ecosystem and the brand associated, the concept has also proven itself as a good fit for the business model which is ready for the world of IoT. Last but not least, recognized by international authorities and research institutions, it is now an exemplar of a management model with universal applicability and social benefits, which it has been.

Haier Biomedical saves lives by moving the blood bank to the patient's bedside
Haier Biomedical saves lives by moving the blood bank to the patient's bedside

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          Systech Announces Partnership with FarmaTrust to Deliver Foolproof Pharmaceutical Blockchain Solution      Cache   Translate Page      

Revolutionary solution provides authentic, safe and connected products throughout the pharmaceutical supply chain

PRINCETON, New Jersey and LONDON, Sept. 12, 2018 /PRNewswire/ -- Systech, a global technology leader in brand protection and product authentication, and FarmaTrust, a leader in pharmaceutical supply chain security, today announced their strategic partnership. This partnership provides a revolutionary blockchain-enabled solution for the pharmaceutical industry that leverages FarmaTrust's blockchain and AI technologies. The Systech platform will now provide a solution that goes beyond today's current compliance, traceability, anti-counterfeit and product safety solutions, enabling clients to ensure product authenticity from the manufacturing floor to a patient's hands.

The counterfeit drugs trade is thought to be the world's largest fraud market. The WHO estimates counterfeit drug revenue at around $200 billion, with an estimated 10-15 percent of worldwide pharmaceutical trade sold on the black market, internet and to patients via prescription medication.

"In Systech's continued commitment to advance supply chain security, we have partnered with FarmaTrust to integrate their proven blockchain solutions," said Ara Ohanian, CEO of Systech. Mr. Ohanian continued, "By combining their bulletproof blockchain and AI solution with our authenticated and trusted e-Fingerprint® technology, we have created a foolproof solution in the fight for pharmaceutical supply chain safety and authenticity."

Raja Sharif, FarmaTrust's CEO stated "This is a significant deal and we are fortunate to work with Systech and integrate our blockchain technology with their compliance, traceability and authentication solutions. This combination is the only non-additive solution that can guarantee product authenticity throughout the supply chain journey. It's also great to have a partner who has global coverage as well as a 32-year history of partnering with the world's 20 largest pharma companies."

About FarmaTrust
FarmaTrust is the most efficient global pharmaceutical tracking system, ensuring that counterfeit drugs do not enter the supply chain and providing security to pharmaceutical companies, governments, regulators and the public. FarmaTrust's blockchain based system utilizes Artificial Intelligence, Machine Learning, and big data analysis to deliver value added services, efficiency, and a transparent supply chain. The FarmaTrust system is safe, secure, encrypted, immutable and future proof. FarmaTrust is based in London, United Kingdom.

About Systech
Systech is the global technology leader in supply chain security and product authentication. For more than 32 years, we have put technology on the line. Systech pioneered pharmaceutical serialization as well as innovations in line vision and inspection, overall packaging line management and track and trace. The Systech platform is implemented in over 500 customer sites spanning 47 countries, supporting 1700+ active lines.

Today, Systech is revolutionizing brand protection. Our software solutions ensure products are authentic, safe and connected--from manufacturing to the consumer's hands.

Contacts:
Systech
Stacey Owens-Perrotta
T +1 609 235 3639
stacey.owens-perrotta@systechone.com

FarmaTrust
Motti Peer
motti@blonde20.com

Related Links :

http://systechone.com


          Une Nouvelle Course aux Armements: Surveillance des Donnees Informatiques et Finance Dematerialisee (Big Data, Digital Finance, and the Surveillance Arms Race)      Cache   Translate Page      

          BI Development Manager - Nintendo of America Inc. - Redmond, WA      Cache   Translate Page      
Legacy DW transformation to Big Data experience is a plus. Nintendo of America Inc....
From Nintendo - Wed, 01 Aug 2018 14:28:49 GMT - View all Redmond, WA jobs
          How Businesses Can Create Effective Analytics Strategies      Cache   Translate Page      
[This article was written by Craig Middleton.] Technology has opened almost unlimited opportunities for businesses to boost their efficiency and productivity while also improving quality. For example, big data has given companies of every size a chance to profit from
          Remote Big Data Presales Information Architect in the Austin Area      Cache   Translate Page      
A computer company is searching for a person to fill their position for a Remote Big Data Presales Information Architect in the Austin Area. Must be able to: Generate interest with the decision-makers that leads to advancement of the sales process Assist with account qualification utilizing knowledge of industry solutions Participate in the development and execution of winning sales strategies Required Skills: Willingness and ability to travel Expert knowledge of Teradata products including SQL Expert knowledge of Open Source technologies Experience in working with industry customer and target accounts Knowledge of Logical Data Sources and/or domain knowledge in industry-specific subject areas BA or BS in Business or Computer Science
          (USA-PA-Philadelphia) HIA Data & Analytics - Data Engineer, Senior Associate      Cache   Translate Page      
A career within Data and Analytics Technology services, will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. **Responsibilities** As a Senior Associate, you’ll work as part of a team of problem solvers with extensive consulting and industry experience, helping our clients solve their complex business issues from strategy to execution. Specific responsibilities include but are not limited to: + Proactively assist in the management of several clients, while reporting to Managers and above + Train and lead staff + Establish effective working relationships directly with clients + Contribute to the development of your own and team’s technical acumen + Keep up to date with local and national business and economic issues + Be actively involved in business development activities to help identify and research opportunities on new/existing clients + Continue to develop internal relationships and your PwC brand **Preferred skills** + Strong Java Programming Skills + Strong SQL Query skills + Experience using Java with Spark + Hands-on experience with Hadoop administration and troubleshooting, including cluster configuration and scaling + Hands-on experience with Hive + AWS Experience + Hands-on AWS Console and CLI + Experience with S3, Kinesis Stream + AWS EMS + AWS Lambda + Python **Helpful to have** + AWS ElasticSearch + AWS DynamoDB **Recommended Certs/Training** + AWS Certified Big Data – Specialty **Minimum years experience required** + 3 to 4 years Client Facing Consulting of technical implementation and delivery management experience. **Additional application instructions** Healthcare industry experience - PLS, Payer & Provider experience. Hand-on experience with at least 2-3 leading enterprise data tools/products; 1. Data Integration: Informatica Power Center, IBM Data Stage, Oracle Data Integrator. 2. MDM: Reltio, Informatica MDM, Veeva Network, Reltio. 3. Data Quality: Informatica Data Quality, Trillium. 4. Big Data: Hortonworks, Cloudera, Apache Spark, Kafka, etc... 5. Data Visualization: Denodo 6. Metadata Management: Informatica Metadata Manager, Informatica Live Data Map. 7. Data Stewardship/Governance: Collibra, Elation. All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer. _For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance._ All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law.
          Project Manager Big Data - SINELEC S.p.A. - Tortona, Piemonte      Cache   Translate Page      
Studiare ed analizzare soluzioni analoghe già presenti o in via di immissione sul mercato, onde garantire la competitività in termini di costi e/o prestazioni...
Da SINELEC S.p.A. - Mon, 10 Sep 2018 20:53:38 GMT - Visualizza tutte le offerte di lavoro a Tortona, Piemonte
          (DEU-Munich) Data Engineer – Innovation Scaling for Web & Mobile Applications      Cache   Translate Page      
*Role Title:* Data Engineer Innovation Scaling for Web & Mobile Applications - 10A *The Role:* You live to break down and solve complex problems by creating practical, maintainable, and scalable solutions. You're a great person that willingly collaborates, listens and cares about your peers. If this is you then you have the best premises to join our team. In your role as the Data Engineer you will be responsible for the end to end Data Migration development, ownership and management. Our department is mainly responsible for the transition and scaling of the prototypes, generated by the innovation department, towards a fully integrated solution which our customers can rely on. Besides that we are also responsible for the enhancements & maintenance of existing products. *Your responsibilities will include but are not limited to:* * Build the infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sources incl. using SQL, Hadoop and AWS data sources. Document & consolidate data sources if required. * Collaborate with local development & data teams and the central data management group * Identify, design and implement internal process improvements:* automating manual processes, optimizing data delivery, re-design infrastructure for greater scalability etc. * Enable cutting-edge customer solutions by retrieving and aggregating data from multiple sources and compiling it into digestible and actionable forms. * Act as a trusted technical advisor for the teams and stakeholders. * Work with managers, software developers, and scientists to design and develop data infrastructure and cutting-edge market solutions. * Create data tools for analytics and data science team members tat assist them in building and optimizing our products into innovative business leaders in their segment. * Derive Unsupervised and Supervised Insights from Data with below specializations * Provide Machine Learning competences o Working on various kind of data like Continuous Numerical, Discrete, Textual, Image, Speech, Baskets etc. o Experience in Data Visualization, Predictive Analytics, Machine Learning, Deep Learning, Optimization etc. o Derive and Drive business Metrics and Measurement Systems to enable for AI readiness. o Handle large datasets using big data technologies. *The Impact:* You have the opportunity to shape one of the oldest existing industries in one of the largest enterprises in the market. Through active participation in shaping and improving our ways to achieve technical excellence you will drive and improve our business. *The Career Opportunity:* You will be working within flat hierarchies in a young and dynamic team with flexible working hours. You will benefit from a bandwidth of career enhancing opportunities. You have very good opportunities to shape your own working environment in combination with a very good compensation as well as benefits and will experience the advantage of both a big enterprise and a small start-up at the same time. Since the team is fairly small you will benefit from high trust and responsibility given to you. Also you will be a key person to grow our team. You should also be motivated to introduce new innovative processes and tools into an existing global enterprise structure. *The Team - The Business:* We are a small, highly motivated team in a newly set up division to scale innovation. We use agile methodologies to drive performance and we share and transfer knowledge as well as embracing methods such as pairing or lightning talks to do so. We are always trying to stay ahead of things and try to be state-of-the-art and cutting-edge. *Knowledge & Skills:* * Proven experience in a data engineering, business analytics, business intelligence or comparable data engineering role, including data warehousing and business intelligence tools, techniques and technology * B.S. degree in math, statistics, computer science or equivalent technical field * Experience transforming raw data into information. Implemented data quality rules to ensure accurate, complete, timely data that is consistent across databases. * Demonstrated ability to think strategically about business, product, and technical challenges * Experience in data migrations and transformational projects * Fluent English written and verbal communication skills * Effective problem-solving and analytical capabilities * Ability to handle a high pressure environment * Programming & Tool skills, Python, Spark, Tableau, XLMiner, Linear Regression, Logistic Regression, Unsupervised Machine Learning, Supervised Machine Learning, Forecasting, Marketing, Pricing, SCM, SMAC Analytics *_Beneficial experience:* _ * Experience in NoSQL databases (e.g. Dynamo DB, Mongo DB) * Experience in RDBMS databases (e.g. Oracle DB) *_About Platts and S&P Global_* *Platts is a premier source of benchmark price assessments and commodities intelligence. At Platts, the content you generate and the relationships you build are essential to the energy, petrochemicals, metals and agricultural markets. Learn more at https:* - - www.platts.com - *S&P Global*includes Ratings, Market Intelligence, S&P Dow Jones Indices and Platts. Together, we re the foremost providers of essential intelligence for the capital and commodities markets. - S&P Global is an equal opportunity employer committed to making all employment decisions without regard to race - ethnicity, gender, pregnancy, gender identity or expression, colour, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or other legally protected categories, subject to applicable law. - *To all recruitment agencies:* S&P Global does not accept unsolicited agency resumes. Please do not forward such resumes to any S&P Global employee, office location or website. S&P Global will not be responsible for any fees related such resumes.
          (Senior) Quality Management (f/m) in SAP Innovative Business Solutions Organization - SAP - Sankt Leon-Rot      Cache   Translate Page      
We make innovation real by using the latest technologies around SAP Hybris, SAP S/4HANA, cloud projects, and big data and analytics....
Gefunden bei SAP - Tue, 11 Sep 2018 17:37:26 GMT - Zeige alle Sankt Leon-Rot Jobs
          Senior Developer/Development Architect SAP S/4 HANA & SAP Cloud Platform (F/M) SAP INNOVATIVE B - SAP - Sankt Leon-Rot      Cache   Translate Page      
We make innovation real by using the latest technologies around the Internet of Things, blockchain, artificial intelligence / machine learning, and big data and...
Gefunden bei SAP - Tue, 11 Sep 2018 17:37:26 GMT - Zeige alle Sankt Leon-Rot Jobs
          Management Assistant (f/m) SAP Innovative Business Solutions - SAP - Sankt Leon-Rot      Cache   Translate Page      
We make innovation real by using the latest technologies around the Internet of Things, blockchain, artificial intelligence / machine learning, and big data and...
Gefunden bei SAP - Tue, 11 Sep 2018 17:36:57 GMT - Zeige alle Sankt Leon-Rot Jobs
          Hortonworks, IBM, Red Hat tie up on hybrid big data system      Cache   Translate Page      
(Telecompaper) Hortonworks, IBM and Red Hat have announced an Open Hybrid Architecture Initiative, a new collaborative effort the companies can use to build a...
          Ingénieur Cloud AWS F/H - Sopra Steria - Toulouse      Cache   Translate Page      
Sopra Steria, fort de près de 42 000 collaborateurs dans plus de 20 pays, propose l'un des portefeuilles d'offres les plus complets du marché : conseil, intégration de systèmes, édition de solutions métier, infrastructure management et business process services. En forte croissance, le Groupe accueillera 3 100 talents en 2018 en France pour participer à ses projets d'envergure sur l'ensemble de ses métiers. L'émergence du Cloud, de l'internet des objets et du Big Data pousse nos...
          Hands-On Artificial Intelligence for Search      Cache   Translate Page      

Make your searches more responsive and smarter by applying Artificial Intelligence to it Key Features Enter the world of Artificial Intelligence with solid concepts and real-world use cases Make your applications intelligent using AI in your day-to-day apps and become a smart developer Design and implement artificial intelligence in searches Book Description With the emergence of big data and modern technologies, AI has acquired a lot of relevance in many domains. The increase in demand for automation has generated many applications for AI in fields such as robotics, predictive analytics, finance, and more. In this book, you will understand what artificial intelligence is. It explains in detail basic search methods: Depth-First Search (DFS), Breadth-First Search (BFS), and A* Search, which can be used to make intelligent decisions when the initial state, end state, and possible actions are known. Random solutions or greedy solutions can be found for such problems. But these are not optimal in either space or time and efficient approaches in time and space will be explored. We will also understand how to formulate a problem, which involves looking at it and identifying its initial state, goal state, and the actions that are possible in each state. We also need to understand the data structures involved while implementing these search algorithms as they form the basis of search exploration. Finally, we will look into what a heuristic is as this decides the quality of one sub-solution over another and helps you decide which step to take. What you will learn Understand the instances where searches can be used Understand the algorithms that can be used to make decisions more intelligent Formulate a problem by specifying its initial state, goal state, and actions Translate the concepts of the selected search algorithm into code Compare how basic search algorithms will perform for the application Implement algorithmic programming using code examples Who this book is for This book is for developers who are keen to get started with Artificial Intelligence and develop practical AI-based applications. Those developers who want to upgrade their normal applications to smart and intelligent versions will find this book useful. A basic knowledge and understanding of Python are assumed. Downloading the example code for this book You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you.


          Ingénieur Cloud AWS F/H - Sopra Steria - Toulouse      Cache   Translate Page      
Sopra Steria, fort de près de 42 000 collaborateurs dans plus de 20 pays, propose l'un des portefeuilles d'offres les plus complets du marché : conseil, intégration de systèmes, édition de solutions métier, infrastructure management et business process services. En forte croissance, le Groupe accueillera 3 100 talents en 2018 en France pour participer à ses projets d'envergure sur l'ensemble de ses métiers. L'émergence du Cloud, de l'internet des objets et du Big Data pousse nos...
          そう (そう)      Cache   Translate Page      
そう (そう)

    Meaning: I hear that
    Example: I hear it's going to snow.

  [ View this entry online ]

  Notes:  
see looks/seems/heard-group for similar examples
There are two connotations to sou
note the difference in verb ending

sou they say/i heard
雨が降るそうです
furu-sou
iku-sou
omoshiroi-sou
genki-da sou

sou-2 looks like/seems
雨が降りそうです
furi-sou
omoshiro-sou
genki-sou


  Examples:  
Note: visit WWWJDIC to lookup any unknown words found in the example(s)...
Alternatively, view this page on POPjisyo.com or Rikai.com


Help JGram by picking and editing examples!!   See Also:  
[ Add a See Also ]

  Comments:  
  • I don't like that example. I should have looked a little longer and got a better one. ^^v (contributor: Amatuka)
  • Formed by V-ru + sou. (contributor: Amatuka)

    [ Add a Comment ]

          Después de haber estudiado una ingeniería, esto es lo que recomiendo comprar (2018)       Cache   Translate Page      

Después de haber estudiado una ingeniería, esto es lo que recomiendo comprar (2018) #source%3Dgooglier%2Ecom#https%3A%2F%2Fgooglier%2Ecom%2Fpage%2F%2F10000

La rentrée a la universidad está a la vuelta de la esquina. Tras elegir las asignaturas que vamos a estudiar y comprar la bibliografía correspondiente, muchos estudiantes se verán en un dilema complicado: qué equipo comprar para estudiar una ingeniería. Y es que comprar un ordenador no solo resulta una inversión importante, sino que podemos arrastrar esta mala elección durante años.

Hemos consultado a varios estudiantes o recién graduados en ingeniería sobre qué equipo usan en su día a día: calculadoras, software, ordenador, tabletas, etc., y por qué lo compraron, grandes errores y compras maestras. Esto es lo que nos han dicho.

Charlamos con Manuel Santos (estudiante de 4º curso de ingeniería informática en la Universidad de Sevilla), Ana Cruz (graduada en ingeniería informática y cursando el máster en Business Intelligence and Big data en la UOC), Iván Carrillo (estudiante de 2º curso de ingeniería aeroespacial en la Universidad Politécnica de Madrid) y Antonio Pérez (estudiante de 4º curso de ingeniería industrial en la Politécnica de Madrid).

¿Qué ordenador usas para tu carrera?

Tener un ordenador es requisito indispensable para estudiar una ingeniería: referencias, exámenes, trabajos, simuladores, asignaturas basadas en manipular software...eso sí, tú decides si prefieres que sea un ordenador portátil o uno de sobremesa.

Mientras que un ordenador portátil es más ligero y versátil, los de sobremesa son más asequibles y cómodos para trabajar

Los ordenadores de sobremesa tienen la ventaja de que se pueden fabricar a piezas, actualizarlos es más fácil y para unas mismas especificaciones son más baratos que los portátiles.

Por otro lado, en muchos casos la movilidad es un factor importante: para llevarlo a la universidad, si te has ido a estudiar fuera, si estudias en la biblioteca...

Sin embargo, si tienes que llevar un ordenador a cuestas durante todo el día también agradecerás que sea ligero y tenga una autonomía considerable. Después de todo, los enchufes no suelen abundar en las universidades.

Pero si vas a pasar horas frente a su pantalla, agradecerás que sea grande y de calidad. No obstante una pantalla de un buen tamaño vuelve a jugar en tu contra en el apartado de movilidad. Aunque siempre nos quedarán los ultrabooks potentes y ligeros, si es que podemos permitírnoslos.

Ponemos la cuestión encima de la mesa y nuestros entrevistados responden: ¿qué ordenador usas para tu carrera?

Toshiba#source%3Dgooglier%2Ecom#https%3A%2F%2Fgooglier%2Ecom%2Fpage%2F%2F10000

Mucho ha cambiado la Universidad desde que entré por primera vez hace 15 años hasta ahora, que estoy cursando mi segunda ingeniería. Por aquel entonces compré un Acer de 15 pulgadas que apenas llevaba a la universidad porque me manejaba con apuntes en papel, pero he de decir que lo pesado que era y el tener que cargar con su enorme adaptador me hacía trasladarlo hasta allí solo cuando era imprescindible.

En este sentido, creo que he salido ganando mi MacBook Pro de 13 pulgadas actual, más ligero y con una autonomía tal que me permite olvidarme del cargador durante la jornada, los días que me toca desplazarme hasta la UNED. Allí no suele haber demasiados ordenadores y los que hay son bastante antiguos.

Eso sí, no es perfecto: a veces echo en falta las conexiones típicas, por lo que en mi mochila no falta un adaptador para lograr más puertos USB y una toma HDMI.

  • Manuel Santos: "Tengo una torre y un portátil. Al ser una carrera de informática necesitaba un equipamiento muy concreto. En primero de carrera (2014) adquirí un portátil teniendo en cuenta que contaba con un presupuesto limitado. Quería que fuera fino y con un hardware equilibrado, así que me compré el Acer V5-552G por unos 600 euros, que tenía 8 GB de RAM, 1 TB de disco duro y procesado APU AMD A10 y una gráfica dedicada Radeon HD 8750M de las antiguas. La torre está hecha a piezas y me ha he comprado hace unos meses: 32 GB de RAM, procesador i5 8600K, de disco duro 1 TB y 128 GB de SSD y de gráfica una AMD R7 370 OC de 4 GB. Es un pepino que también uso para jugar"

  • Ana Cruz: "Antes de empezar el máster online me compré un portátil que uso tanto en casa como cuando me voy de viaje de trabajo. Quería que tuviera mucha RAM y un procesador lo más potente posible, disco duro sólido y sin gastarme demasiado teniendo en cuenta estas características top. Me compré un portátil DELL porque era los que había visto en la oficina. Es el DELL Inspiron 7359 con procesador i7-8550U y 16 GB de RAM, que combino con una pantalla de 22 pulgadas cuando estoy en casa".

Programar#source%3Dgooglier%2Ecom#https%3A%2F%2Fgooglier%2Ecom%2Fpage%2F%2F10000
  • Iván Carrillo: "Cuando comencé la carrera me di cuenta que el ordenador que tenía en ese momento (Acer Aspire 5750G) se había quedado corto, así que me compré un MacBook Pro de 15 pulgadas(2.510,26 euros). Escogí el modelo más completo, con un procesador de 2,6 GHz Intel Core i7, una memoria de 16 GB RAM, con dos tarjetas gráficas, una Radeon pro y otra Intel HD.Mi objetivo era comprarme un ordenador al inicio de la carrera, y poder convivir con él hasta el final de la misma, incluido el máster, es decir, un total de 6 años. Quería un portátil con una batería potente para no cargarlo en la universidad, que no se sobrecalentase en exceso, silencioso. Aunque parece una tontería, buscaba un dispositivo bonito, algo con lo que estuviese contento los 6 años. Inicialmente pretendía gastar una cifra de entre 700-1300 euros, porque aunque es mucho dinero, era una inversión para muchos años. Sin embargo, tras ir mirando ordenadores y optar a una buena beca, acabe decantándome por un Mac."

  • Antonio Pérez: "Tengo dos ordenadores de sobremesa casi idénticos hechos a piezas, uno para la casa de mi madre y otro para la de mi padre: "Están montadas en cajas Nox Coolbay VX y llevan Intel Cores i5 4570K y Gigabyte GTX 660 OC. Uno tiene montado un combo SSD y HDD y el otro solo lleva HDD. La RAM son 2x4GB DDR3 2.133Mhz CL8, que en ese momento estaban a buen precio.Los apuntes los tomo a mano y muy de vez en cuando llevo un Acer Aspire 5750G que tengo desde hace 6 años, que en su día estaba muy bien con su i7 y gráfica dedicada, pero al final me sale más a cuenta un ordenador de sobremesa en cada casa que un portátil bueno de verdad."

Ojo al sistema operativo

Windows Linux#source%3Dgooglier%2Ecom#https%3A%2F%2Fgooglier%2Ecom%2Fpage%2F%2F10000

Si quieres evitar problemas de compatibilidades con el software de la carrera, Windows es tu sistema operativo. No obstante siempre quedarán las particiones si quieres convivir con Linux o las máquinas virtuales.

En mi experiencia, en algunas asignaturas sufro al tener que buscar programas compatibles con macOS y termino usando VirtualBox, con el consecuente aumento de recursos consumidos al tener que emplear un emulador, o lo que es lo mismo, un ordenador con Windows 10 dentro de mi Mac. ¿Les pasará también a nuestros estudiantes entrevistados?

  • Manuel Santos : "Mi Acer ha ido pasando por Windows 8 que venía de serie, Windows 8.1 y Windows 10. Yo di rápidamente el salto a Windows 10 porque el 8 era poco intuitivo, estaba enfocado a su uso táctil y no era muy funcional. Windows 10 ha aunado bien Windows 7 y Windows 8 creando un sistema bastante robusto. Creo que Windows es lo mejor para una ingeniería, sobretodo si usas programas antiguos porque no hay versiones para otros sistemas. Eso sí, te toca tirar de modo de compatibilidad o incluso de máquinas virtuales".

  • Ana Cruz: "En mi máster varios estudiantes contaban con ordenadores Apple y lo pasaron muy mal instalando software de Big Data. Aunque está contemplado y teóricamente se podía hacer, la instalación era mucho más compleja y daba más problemas. Yo uso Windows 10 y no he tenido ningún problema."

  • Ivan Carrillo: "Es cierto que Windows es el software más popularizado en toda Europa, y por tanto las escuelas suelen emplearlo para sus clases. Sin embargo, con un poco de idea se puede hacer exactamente lo mismo en Mac. Además, cabe destacar que los Mac cuentan con una herramienta llamada Bootcamp, que te guía en el proceso de instalación de Windows en tu equipo Mac, usando una partición de tu disco con el espacio que tú consideres necesario y funciona muy bien. Si puedo elegir, antepongo siempre el sistema MacOS a Windows, por su rapidez, fluidez, ecosistema y usabilidad."

  • Antonio Pérez: "Uso Windows 10. Creo que es el más compatible con el software que uso y nunca me ha dado problemas. Además, si Windows te da cualquier fallo hay mucho más soporte en foros. Es la comunidad más grande"

Software: cada carrera es un mundo

Office#source%3Dgooglier%2Ecom#https%3A%2F%2Fgooglier%2Ecom%2Fpage%2F%2F10000

Hay software común a todas las ingenierías (y me atrevería a decir que a todas las carreras) como son los navegadores o las suites de ofimática. Eso sí, en 2018 todavía encontramos plataformas y servicios online que solo funcionan bien en Internet Explorer. En cuanto al software de ofimática, si vas a trabajar en grupo o a usar diferentes ordenadores, mejor decantarse por el pack de Microsoft Office o incluso trabajar online con la suite de Google.

Antes de lanzarte a comprar software que vayas a usar en tu carrera, has de saber que muchas universidades tienen acuerdos con las empresas desarrolladoras, de modo que existen licencias específicas para estudiantes del centro. Del mismo modo, también hay programas con precios especiales para el sector educativo. Para informarte puedes consultar en la web de tu universidad, preguntar al profesorado o visitar la web del programa. Por ejemplo, como puedes ver en su página, Microsoft Office 365 es gratis para alumnos y profesores.

En mi caso, en ingeniería química he tenido que usar Matlab para todas las asignaturas de matemáticas, AutoCad y SolidWorks para dibujo, HEC-RAS para simular el funcionamiento de fluidos y EES para resolver ecuaciones. Pero cada carrera tiene asignaturas y programas diferentes.

  • Manuel Santos: "Para mí lo mejor es Office, que te lo dan gratis solo por ser estudiante universitario en cualquier universidad española. Es un software muy potente y cada vez es mejor. En clase normalmente nos proporcionan el software o nos dan alternativas opensource, por ejemplo Notepad++ para programar".

  • Ana Cruz : "En el máster estoy usando muchísimos programas: integradores de datos en la nube como Talend y Pentaho, Microsoft SqlServer, administradores de bases de datos como Toad, gestores de MongoDB como MMS, Qlik Sense para Business Intelligence, R Studio para datos estadísticos, Hadoop para el Big Data más puro...en el curso nos han facilitado los accesos, pero todo era en remoto mediante un escritorio virtual con Citrix. Para que nos entendamos, en la nube."

  • Ivan Carrillo: "En cuanto a software específico, este año he tenido que usar sobre todo, a nivel de programación, el Geany y el GFortran, un editor de programas y un compilador. Ambos tiene un software adaptado tanto a Windows como para Mac. Los programas nos los aportó el profesor, pero es un software libre al que cualquiera puede acceder desde sus paginas web oficiales."

  • Antonio Pérez: "Yo uso básicamente Office, R-Studio, Solid Edge, y Matlab. El Office lo piratee, pero el resto me lo explicaron los profesores durante los primeros días de clase. Te mandan un código a tu mail universitario y con eso te validas para usarlo."

Los dispositivos indispensables en tu mochila

Nunca te arrepentirás de llevar una memoria USB encima. A lo largo de los años he ido atesorando unas cuantas y siempre acabas usándolas: para guardar documentos importantes, prácticas, compartir trabajos... es verdad que la nube es una gran herramienta, pero a veces internet falla y no hay nada como el soporte físico. Aunque parezca que todas son iguales más allá de su capacidad, merece la pena invertir en memorias rápidas con USB 3.0 porque algunas que te regalan de publicidad son un dolor a la hora de transferir datos.

Otro auténtico must son las calculadoras. En mi caso, arrastré la vieja Casio del instituto hasta la universidad, donde me compré una gráfica Texas TI-89 (210,99 euros) porque era más barata que las populares de HP. Mi gozo en un pozo: había exámenes en los que no podíamos llevar calculadoras programables y en los que te permitían llevar de todo, también podías usar el portátil. No obstante, una buena calculadora gráfica puede ayudarte mucho resolviendo operaciones largas y complejas... si te dejan usarla. ¿Qué dispositivo no puede faltar en la mochila de nuestros entrevistados?

  • Manuel Santos: "Tengo un disco duro WD Elements de 1 TB ( 58 euros en PcComponentes) que uso para guardar todo lo que es importante: matrícula, prácticas, exámenes.. así lo tengo por duplicado. Es un disco rápido, ligero, no da fallos por el momento y me salió bien de precio."

  • Ana Cruz: "Si te decantas por comprar un ordenador portátil bueno como equipo único y pasas muchas horas delante de él, al final es normal que acabes comprándote un monitor para no quedarte sin ojos. Yo tengo un monitor de 22 pulgadas bastante normalito de BenQ comprado de oferta, pero créeme que lo noto mucho. Eso sí, estoy valorando dar el salto a una pantalla más grande y con 4K."

Macbook Adaptador#source%3Dgooglier%2Ecom#https%3A%2F%2Fgooglier%2Ecom%2Fpage%2F%2F10000
  • Iván Carrillo: "Este año me ha servido con una calculadora muy normalita, concretamente una casio fx-570ES; pero para el año que viene necesito una calculadora más compleja para resolver funciones y ver gráficas, una calculadora programable tipo HP 50g (300,32 euros) que es la que llevan otros alumnos de mi carrera. Como mi MacBook Pro solamente tiene 4 puertos USB-C, el accesorio que más empleo es un adaptador multi-salida con HDMI, RJ-45, USB 3.0 y USB-C, con el cual puedo conectar todos los dispositivos que uso a diario, como por ejemplo memorias USB."

  • Antonio Pérez: " Yo sigo con mi Casio fx570-X Plus (15 euros) del instituto, pero solo para los exámenes, ya que en mi universidad no permiten el uso de calculadoras programables. Para el día a día normalmente a clase solo llevo el iPad Pro (666,36 euros que me regalaron en la Navidad de 2015 por tema de peso y organización. Lo uso tanto para estudiar apuntes (que tomo a lápiz y boli para luego digitalizarlos), exámenes y bibliografía como para resolver ecuaciones con la aplicación Wolfram Alpha, que hace que no necesites una calculadora gráfica y es mucho más cómoda e intuitiva de usar."

¿Qué comprar para estudiar una ingeniería?

estudiante#source%3Dgooglier%2Ecom#https%3A%2F%2Fgooglier%2Ecom%2Fpage%2F%2F10000

Hemos hablado con estudiantes de diferentes ingenierías y cada uno nos ha contado sus experiencias y las herramientas de trabajo que ellos les funcionan.

Si tienes dudas acerca de qué comprar, lo mejor es preguntar a personas que hayan estado en tu misma situación y observar qué llevan los demás para saber sus ventajas e inconvenientes. Nada como la experiencia para orientarnos.

Aunque hay divergencias en nuestros testimonios, todos tienen claro que para usar software propio de ingeniería han de usar un equipo con procesador potente y suficiente RAM para ejecutarlos.

Hay usuarios que prefieren apostar por un sobremesa, más barato y fácilmente actualizable. Otros prefieren la movilidad de un portátil, sabiendo que además de la potencia será necesario que sea ligero y con buena autonomía. No obstante, si no vas a moverlo mucho también puedes decantarte por un portátil más grande y cómodo a la hora de trabajar.

Esto es lo que nuestros entrevistados recomiendan:

  • Manuel Santos :"Un portátil es lo más cómodo para trabajar siempre con el mismo equipo, aunque ha de cumplir ciertos requisitos: 13 pulgadas es un tamaño perfecto para movilidad y trabajar, a no ser que estudies arquitectura por el tema de planos. En cuanto a RAM, 8 GB mínimo para que no se quede colgado programando. Un detalle que parece una tontería pero no lo es son los discos duros SSD: cuanto más rápido vaya un portátil, mejor, y si se te olvida algo y tienes que encenderlo, con los disco duro sólido tardas muy poco tiempo. En cuanto llegues a la universidad pregunta por el software, porque hay muchos recursos que tenemos al alcance y desconocemos. Asimismo, a mi me salvó la vida una maleta que sea compacta, segura y cómoda para llevar el portátil. Yo tengo la Case Logic 39,90 euros."
Mochila#source%3Dgooglier%2Ecom#https%3A%2F%2Fgooglier%2Ecom%2Fpage%2F%2F10000
  • Ana Cruz: "Creo que un portátil es lo mejor para trabajar en casa y en la universidad. Si además te pasa como a mi, que me tuve que estudiar fuera, pues más razón todavía. Por mi experiencia recomendaría invertir en RAM y en procesador, porque el software de informática tira de procesador principalmente, así que iría a por un i7 y 16 GB de RAM. Luego está el tema de la comodidad: aunque 10-11 pulgadas sea muy cómodo por lo ligero, te vas a dejar los ojos. Creo que 13 pulgadas es un tamaño perfecto. Si pesa unos 2 kilos, mejor que mejor. Luego hay cosas que puedes comprar o mejorar más adelante: un disco duro por si te quedas corto de espacio, un monitor o un televisor para conectar tu ordenador... insisto mucho en esto porque es fácil tener una TV en casa para ti y es muy cómodo conectarlo al portátil para trabajar. Incluso la RAM la puedes actualizar más tarde en los sobremesa y en muchos portátiles".

  • Iván Carrillo: "Para mi está claro es fundamental un portátil ligero, delgado y fino, algo que puedas cargar en la mochila sin darte cuenta y que guarde una buena proporción pantalla-tamaño, vamos que se vea grande pero que ocupe lo mínimo. Así que o 13 pulgadas que cabe muy bien en el pupitre, o 15 pulgadas que es más versátil. La rapidez es imprescindible para una carrera como la aeroespacial, naval o industriales, que son las más exigentes. Se necesita un equipo para uso continuo durante horas: desarrollando programas, consultas... de ahí que eligiese un i7. Aunque bien es cierto que no es necesario para los primeros cursos de la carrera, más adelante se agradece mucho. Teniendo en cuenta todo esto, yo recomiendo los Asus Zenbook o los MacBook. Los productos Apple son perfectos para estudiantes de nuestras características: son equipos fiables, duraderos, con gran autonomía, muy potentes y veloces, bonitos y que transmiten una gran experiencia de usuario. Su principal hándicap es el precio, pero yo por ejemplo al comprar mi equipo recibí unos cascos Beats gratis valorados en 300 euros y un 10% de descuento en mi compra por acreditar que era estudiante. Al final la diferencia no es tanta con ordenadores Windows de similares características."

  • Antonio Pérez: "En clase veo muchos MSI de gaming grandes. Yo valoro la pantalla y la autonomía pero con potencia suficiente para ejecutar mis programas, con gráfica dedicada... Obviamente cuanta mas potencia, menos autonomía. No me gastaría demasiado porque al final cuanta mas potencia, menos autonomía. En tema de ordenadores prefiero gama alta porque dura mucho más, sino pronto se queda obsoleta y siempre hay buenas ofertas."

Si has decidido estudiar una ingeniería o estás estudiándola, ¿qué equipo consideras imprescindible? Cuéntanos por favor tu experiencia en los comentarios.

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La noticia Después de haber estudiado una ingeniería, esto es lo que recomiendo comprar (2018) fue publicada originalmente en Xataka por Eva Rodríguez de Luis .


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          しかし (然し・併し) (shikashi)      Cache   Translate Page      
しかし (然し・併し) (shikashi)

    Meaning: However, but
    Example: But now things have changed a lot.

  [ View this entry online ]

  Notes:  
Shikashi is used to show criticsm or a different point of view. It can also be used to show the speakers begrudging resistance on an idea or order of action whether it be him or someone/something else. I really think this should be focused at the end of one's studies for JLPT4 as conjunctions should be the last focus for your journey. I teach Japanese myself at www.freewebs.com/kanjiwebs/ and know hands on what people mess up on.


  Examples:  
Note: visit WWWJDIC to lookup any unknown words found in the example(s)...
Alternatively, view this page on POPjisyo.com or Rikai.com


Help JGram by picking and editing examples!!   See Also:  
  • keredomo    (しかし has a similar meaning to けれども but is used at the start of sentences. )
  • demo
[ Add a See Also ]

  Comments:  
  • Make that usually used at the start of sentences. (contributor: Amatuka)
  • "この文書には契約法上の問題はほとんどない、しかし税法上の問題は多々ある。" 0.o Wow, now that's what I call an example (contributor: dareka)
  • I've heard that が as a conjunction between sentences can also mean "but." Is that different from this? (contributor: metaphist)
  • When you use が in that context, you would very often use が、しかし.....
    (contributor: bamboo4)
  • Don't forget keredomo and keredo and kedo
    http://saketalkie.blogspot.com (contributor: brettkun)
  • First you say _____ then to contrast say shikashi then ______

    also If something couldn't be done or was lacking ______ shikashi _______ something else that could be (contributor: brettkun)
  • keredomo. vs keredemo and demo
    (contributor: brettkun)

    [ Add a Comment ]

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Make your searches more responsive and smarter by applying Artificial Intelligence to it Key Features Enter the world of Artificial Intelligence with solid concepts and real-world use cases Make your applications intelligent using AI in your day-to-day apps and become a smart developer Design and implement artificial intelligence in searches Book Description With the emergence of big data and modern technologies, AI has acquired a lot of relevance in many domains. The increase in demand for automation has generated many applications for AI in fields such as robotics, predictive analytics, finance, and more. In this book, you will understand what artificial intelligence is. It explains in detail basic search methods: Depth-First Search (DFS), Breadth-First Search (BFS), and A* Search, which can be used to make intelligent decisions when the initial state, end state, and possible actions are known. Random solutions or greedy solutions can be found for such problems. But these are not optimal in either space or time and efficient approaches in time and space will be explored. We will also understand how to formulate a problem, which involves looking at it and identifying its initial state, goal state, and the actions that are possible in each state. We also need to understand the data structures involved while implementing these search algorithms as they form the basis of search exploration. Finally, we will look into what a heuristic is as this decides the quality of one sub-solution over another and helps you decide which step to take. What you will learn Understand the instances where searches can be used Understand the algorithms that can be used to make decisions more intelligent Formulate a problem by specifying its initial state, goal state, and actions Translate the concepts of the selected search algorithm into code Compare how basic search algorithms will perform for the application Implement algorithmic programming using code examples Who this book is for This book is for developers who are keen to get started with Artificial Intelligence and develop practical AI-based applications. Those developers who want to upgrade their normal applications to smart and intelligent versions will find this book useful. A basic knowledge and understanding of Python are assumed. Downloading the example code for this book You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you.


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Artificial Intelligence, Machine Learning and Big Data – A Comprehensive Report Artificial Intelligence and Machine Learning are the hottest jobs …

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          Gurucul Introduces Managed Security Analytics Service      Cache   Translate Page      
Provides Dedicated Access to Data Science Experts for Design,
Management and Optimization of Behavior Based Security Systems to
Expedite Risk Detection and Response
Gurucul Introduces Managed Security Analytics Service

LOS ANGELES (BUSINESS WIRE) #EY ― Gurucul , a leader in behavior based

security and fraud analytics technology for on-premises and the cloud,

today announced Gurucul Labs, a turn-key managed security analytics

service based on the Gurucul Risk Analytics (GRA) platform which

provides the data science expertise many organizations lack to

operationalize their investments in behavior based security analytics.

Gurucul Labs combines people, processes and technology to help

organizations discover unknown threats in real-time and expedite

responses to malicious insiders, unusual usage activity, compromised

accounts or hosts, network intrusions, data exfiltration and more. The

service provides continuous machine learning algorithms and anomaly

model tuning and refinement by data scientists based on intelligence

gathered from the Carnegie Mellon US-CERT team, Gurucul’s other research

partners, and global customers.

The Gurucul Labs service provides customers the following resources:

Security Architect : to ensure a robust and scalable security
architecture (systems integration, cloud, hybrid, on-premise
deployment architecture, security architecture) and security data
validation GRA Engineer : to facilitate GRA implementation, administration
and maintenance activities Security Analyst : to support security threat research, use case
identification and design, first level triage of high-risk incidents,
case investigation, fine tuning feedback, case management and reporting Fraud Analyst: to research insider and third party fraud scenarios,
suggest data tagging and access control, investigate fraud cases,
perform impact analysis and suggest response actions Data Scientist : to review data sets, behavior models and tuning
suggestions

“Many organizations lack the in-house resources and expertise to

optimize their investments in behavior based security analytics,” said

Nilesh Dherange, chief technology officer for Gurucul. “Gurucul Labs

eliminates this roadblock, and enables customers to operationalize the

collective intelligence of Gurucul’s experts, research partners like the

Carnegie Mellon US-CERT team and best practices from the Gurucul

customer community ― to protect their environments.”

Gurucul Labs Highlights

Gurucul Labs provides an end-to-end security analytics platform

administration and maintenance service that includes:

Efficacy tracking and fine-tuning of out of the box analytical models
to find true positive incidents for real-time threat detection and
response Configuration of threat use cases to address organization specific
business and IT risks Implementation and operationalization of machine learning models
created in other systems using Gurucul STUDIO Assist organizations in deploying GRA as a centralized analytics and
risk engine to generate contextual risk prioritized alerts On-going anomaly detection, findings triage, first level
investigation, case management and reporting User and role administration, data validation, system configuration
and customization support Ongoing system maintenance and health check including resource
performance and utilization monitoring/optimization Quarterly results effectiveness reports for senior management Gurucul Labs scorecard to track anomalies, cases, model efficacy and
data ingestion trends

Availability

The Gurucul Labs managed security analytics

service is available immediately for cloud, hybrid,and on-premise

deployments.

About GRA

Gurucul Risk Analytics (GRA) is a multi-use

behavior based security and fraud analytics platform with an

architecture that supports an open choice of big data for scale, the

ability to ingest virtually any dataset for desired attributes and

includes configurable prepackaged analytics. The Gurucul GRA platform

includes UEBA, Fraud Analytics, Identity analytics and Cloud Analytics

products. In addition,

Gurucul

enables security teams to create custom machine learning

models to meet unique customer requirements without coding and minimal

data science knowledge. GRA ingests and analyzes huge volumes of data

generated when users access and interact with business applications, in

both the data center and the cloud, to generate risk scores, identify

security threats and prevent data breaches. The Gurucul GRA platform has

been successfully deployed by government agencies and Global Fortune 500

companies.

About Gurucul

Gurucul is a global cyber security and fraud

analytics company that is changing the way organizations protect their

most valuable assets, data and information from insider and external

threats both on-premises and in the cloud. Gurucul’s real-time security

analytics and fraud analytics technology combines machine learning

behavior profiling with predictive risk-scoring algorithms to predict,

prevent and detect breaches. Gurucul technology is used by Global 1000

companies and government agencies to fight cyber fraud, IP theft,

insider threat and account compromise. The company is based in Los

Angeles. To learn more, visit http://www.gurucul.com/

and follow us on LinkedIn

and Twitter .

Contacts

Marc Gendron PR

Marc Gendron, 781-237-0341

marc@mgpr.net
Gurucul Introduces Managed Security Analytics Service
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          In the Know: Present and Future of Artificial Intelligence in Security      Cache   Translate Page      

You’ve seen that movie, the one where humans fabricate robots that are so human-like they end up taking over the world. What was once the plot line for every other sci-fi film is now leaking into the reality of our everyday lives.

The future of artificial intelligence isn’t so distant with voice-powered personal assistants like Siri and Alexa , and autonomously-powered self-driving vehicles already on the market. But these technologies still have a way to go and some would argue that these advancements aren’t true artificial intelligence because they lack the ability to learn. A pure artificial intelligence can improve on past iterations, becoming more intelligent and aware, creating pathways to enhance its capabilities and knowledge. In the movies, that’s when the machines really takeover. Artificial intelligence within the endpoint and network security context is still limited because it depends on benign and malicious content to “train” on. With new attack vectors, if the security solution didn’t have a chance to learn it then it is still vulnerable and on a par with legacy AV and network IPS where new threats remain undetected.

With our current technology, we tend to think more in terms of pseudo-artificial intelligence. Meaning, when a machine mimics cognitive functions that humans consider human. That includes learning, reasoning, and problem solving, which we also define as “ machine learning .”


In the Know: Present and Future of Artificial Intelligence in Security
Marketing Hype or Security Gold?

In the last few years, there has been a lot of buzz around artificial intelligence and machine learning. RSA conferences featuring companies claiming to use artificial intelligence raised a lot of interest, and provided participants with the opportunity to break through the marketing hype and really dig into the innovations that will one day advance the future of artificial intelligence in security.

As it turns out, many products marketed as using artificial intelligence are just well-established technology like machines that can recognize and identify hostile traffic. Spam filters, anyone?

As a result, Cybersecurity professionals are starting to see through the smoke and in a survey , 87% said “it will be more than three years before they really feel comfortable trusting AI to carry out any significant cybersecurity decisions.”

Future of Artificial Intelligence in Security Still Bright

While confidence behind the technology has room for improvement, the future of artificial intelligence is limitless. We are already witnessing machine learning quantify risk, detecting network attacks and traffic anomalies, and pinpointing malicious applications. But with an onslaught of threats like non-malware and fileless attacks, plus a lack of security manpower, we need the technology to evolve and fast. In North America alone, the infosec community is overloaded with roughly 10,000 security alerts per day .

Technological boons will help this perfect storm by offsetting the lack of experience among security workers. With the growing availability of big data and heavy-lifting graphic-processing units, we’re likely to see a renaissance period for artificial intelligence beginning this year.

The evolution won’t come easily or cheaply though. Artificial intelligence solutions require a great deal of backend infrastructure. And the massive computation power necessary for daily training and updating models is still quite expensive.

Machine vs. Machine

Cybercrime rings aren’t run by robots yet, but we can assume that as we are leveraging artificial intelligence, so are they. Using the same underlying technology, malicious actors can develop cleaner, more convincing attacks, which could even trick the keenest security professional.

While artificial intelligence is here to help improve detection, it is not a one-stop-shop. We will continue to need system-wide monitoring and a behavioral approach while current endpoint solutions with artificial intelligence are still static and blind to in-process threats.

SentinelOne takes the possibility of a machine vs. machine security scenario seriously. Our approach combines AI and machine learning in several detection layers, added with a visibility and monitoring capability that allows an unprecedented view into an endpoint’s activities.

Endpoints are the point of entry into your environment, your data, your credentials, and potentially your entire business. A compromised endpoint provides everything an attacker needs to gain a foothold on your network, steal data, and potentially hold it to ransom. Unless you secure your critical endpoints (including servers, laptops, and desktops), you may be leaving the front door wide open for attackers.

Attackers have figured out how to bypass traditional antivirus software with fileless attacks designed to hide within sanctioned applications and even within the OS itself.

According tothe SentinelOne H1 2018 Enterprise Risk Index Report , fileless-based attacks rose by 94%. So, even if you’re vigilant about installing patches and pushing out antivirus updates, your organization is likely still at risk. Keep reading to understand how attackers have adapted their tactics to evade traditional antivirus, how these increasingly common attacks work and how to quickly evolve your threat detection strategy.

Want to see how SentinelOne can effectively protect you from current security risks?

Get a Demo Now

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          Netflix co-founder urges Utah health executives to develop 'tolerance of risk'      Cache   Translate Page      
Medical executives were urged to embrace the solutions offered by big data and not be afraid of change at the annual Health...
          Big Data Architect      Cache   Translate Page      
AZ-Phoenix, Big Data Architect Innovate to solve the world's most important challenges As a Big Data Architect in the Aero Advanced Analytics organization, you will be responsible for defining the platform strategy that meets the needs of our data science teams, internal processing and customer-facing web and mobile applications. This person will work closely with Corporate I/T, business analysts and peer arc
          Snowplow - The Open-Source, Web-Scale Analytics Platform Powered By Hadoop, Spar ...      Cache   Translate Page      

Snowplow - The Open-Source, Web-Scale Analytics Platform Powered By Hadoop, Spar ...

Today, Open source software has transformed the data landscape completely and Snowplow , is an Open source, web-scale analytics platform that is built on the shoulders of open source giants like Hadoop , Spark , Hive and Redshift .

The platform, at present, is being used by 1000's of companies throughout the world and is both real-time and batch.

So, what does Snowplow basically do?

The world's most powerful analytics platform Snowplow is an enterprise-strength marketing and product analytics platform that does the following three things:

The platform identifies the users and keeps a track on the way they are engaged with your website or application.

It further stores the behavioural data of your users in a scalable "event data warehouse" that you control: in Amazon S3 and (optionally) Amazon Redshift or Postgres .

In order to analyze that data, it also lets you leverage the biggest range of tools, including big data tools via EMR or more traditional tools so that the behavioural data can be analyzed.

Basic Functions:

The complete, loosely coupled web analytics platform further lets you capture, store and analyze granular, customer-level and event-level data. So a user can:

Drill down to individual customers as well as events

Zoom out in order to compare behaviours between cohorts and over time

Join web analytics data with other datasets (e.g. offline data, media catalogue, product catalogue, CRM)

Segment your audience by the behaviour

Develop recommendations and personalization engines.

Now, Since We Know What Snowplow Is, Why Was It Designed?

Snowplow has been technically designed for the following two reasons:

To Give all its users the access, ownership as well as control of their own web analytics data (no lock in).

To be loosely coupled and extensible, so that it is easy to make any additions. For example, New trackers to capture data from new platforms (e.g. mobile, TV) and put the data to new uses.

Snowplow How:

We know what the platform does but how does Snowplow actually help its users to get control and access to their own data? It does so with the following:

Ownership:All the users of the platform own their own data. Snowplow never mediates the users access to their own data.

Control:It is the users who decide what data is to be collected by them, what questions they want to ask of it, what analytics techniques and technologies they want to use in order to process it and how they want to act on the insight that has been generated.

Freedom:Not limiting itself here, the platform provides their users with the freedom to do what they want with their own data. No vendor lock-in. No assumptions are made about their business or how they should make the use of their data. The only thing that can limit the users is their own imagination.

In the end, most of the benefits that are provided come down to just one aspect: The control you have on your data. With solutions like Snowplow , the user can have access to true event-level data, that is, data in its rawest form.

Hence, a complete game changer that is hoped to drive further innovation in data. For further information related to its architecture, FAQ's, How to contribute and more, you can refer to the links given below:

Website: snowplowanalytics

For More Information: GitHub


          Hands-On Artificial Intelligence for Search      Cache   Translate Page      

Make your searches more responsive and smarter by applying Artificial Intelligence to it Key Features Enter the world of Artificial Intelligence with solid concepts and real-world use cases Make your applications intelligent using AI in your day-to-day apps and become a smart developer Design and implement artificial intelligence in searches Book Description With the emergence of big data and modern technologies, AI has acquired a lot of relevance in many domains. The increase in demand for automation has generated many applications for AI in fields such as robotics, predictive analytics, finance, and more. In this book, you will understand what artificial intelligence is. It explains in detail basic search methods: Depth-First Search (DFS), Breadth-First Search (BFS), and A* Search, which can be used to make intelligent decisions when the initial state, end state, and possible actions are known. Random solutions or greedy solutions can be found for such problems. But these are not optimal in either space or time and efficient approaches in time and space will be explored. We will also understand how to formulate a problem, which involves looking at it and identifying its initial state, goal state, and the actions that are possible in each state. We also need to understand the data structures involved while implementing these search algorithms as they form the basis of search exploration. Finally, we will look into what a heuristic is as this decides the quality of one sub-solution over another and helps you decide which step to take. What you will learn Understand the instances where searches can be used Understand the algorithms that can be used to make decisions more intelligent Formulate a problem by specifying its initial state, goal state, and actions Translate the concepts of the selected search algorithm into code Compare how basic search algorithms will perform for the application Implement algorithmic programming using code examples Who this book is for This book is for developers who are keen to get started with Artificial Intelligence and develop practical AI-based applications. Those developers who want to upgrade their normal applications to smart and intelligent versions will find this book useful. A basic knowledge and understanding of Python are assumed. Downloading the example code for this book You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you.


          Re: [PATCH] selinux: Add __GFP_NOWARN to allocation at str_read()      Cache   Translate Page      
peter enderborg writes: (Summary) On 09/13/2018 01:11 PM, Michal Hocko wrote:
I don't think we get any big data there at all. However this data can be in fast path so a vmalloc is not an option. I don't think we get any big data there at all. However this data can be in fast path so a vmalloc is not an option. And some of the calls are GFP_ATOMC.
And some of the calls are GFP_ATOMC.
And some of the calls are GFP_ATOMC.
And some of the calls are GFP_ATOMC.
And some of the calls are GFP_ATOMC.

          Hands-On Artificial Intelligence for Search      Cache   Translate Page      

Make your searches more responsive and smarter by applying Artificial Intelligence to it Key Features Enter the world of Artificial Intelligence with solid concepts and real-world use cases Make your applications intelligent using AI in your day-to-day apps and become a smart developer Design and implement artificial intelligence in searches Book Description With the emergence of big data and modern technologies, AI has acquired a lot of relevance in many domains. The increase in demand for automation has generated many applications for AI in fields such as robotics, predictive analytics, finance, and more. In this book, you will understand what artificial intelligence is. It explains in detail basic search methods: Depth-First Search (DFS), Breadth-First Search (BFS), and A* Search, which can be used to make intelligent decisions when the initial state, end state, and possible actions are known. Random solutions or greedy solutions can be found for such problems. But these are not optimal in either space or time and efficient approaches in time and space will be explored. We will also understand how to formulate a problem, which involves looking at it and identifying its initial state, goal state, and the actions that are possible in each state. We also need to understand the data structures involved while implementing these search algorithms as they form the basis of search exploration. Finally, we will look into what a heuristic is as this decides the quality of one sub-solution over another and helps you decide which step to take. What you will learn Understand the instances where searches can be used Understand the algorithms that can be used to make decisions more intelligent Formulate a problem by specifying its initial state, goal state, and actions Translate the concepts of the selected search algorithm into code Compare how basic search algorithms will perform for the application Implement algorithmic programming using code examples Who this book is for This book is for developers who are keen to get started with Artificial Intelligence and develop practical AI-based applications. Those developers who want to upgrade their normal applications to smart and intelligent versions will find this book useful. A basic knowledge and understanding of Python are assumed. Downloading the example code for this book You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you.


          Big Data Architect      Cache   Translate Page      
AZ-Phoenix, Big Data Architect Innovate to solve the world's most important challenges As a Big Data Architect in the Aero Advanced Analytics organization, you will be responsible for defining the platform strategy that meets the needs of our data science teams, internal processing and customer-facing web and mobile applications. This person will work closely with Corporate I/T, business analysts and peer arc
          Executive Director- Machine Learning & Big Data - JP Morgan Chase - Jersey City, NJ      Cache   Translate Page      
We would be partnering very closely with individual lines of business to build these solutions to run on either the internal and public cloud....
From JPMorgan Chase - Fri, 20 Jul 2018 13:57:18 GMT - View all Jersey City, NJ jobs
          5 Perusahaan Fintech Siap Kerjasama dengan Pegadaian      Cache   Translate Page      

Liputan6.com, Jakarta - Direktur Teknologi Informasi Digital PT Pegadaian (Persero) Teguh Wahyono menyatakan Pegadaian tidak ingin menjadikan industri keuangam berbasis teknologi atau fintech sebagai saingan. BUMN tersebut justru ingin berkolaburasi dengan perusahaan fintech.

Oleh sebab itu, dalam waktu dekat Pegadaian akan menggandeng beberapa fintech berbasis pinjam meminjam atau peer to peer lending (P2PL) untuk bekerjasama.

"Jadi kita mengundang fintech ini kan sebagian besar peer to peer jadi mereka tidak punya uang sendiri tetapi uang yang minjam dari peer lain. Nah kami siap jadi lender (peminjam) mereka," kata Teguh di Jakarta Pusat, Kamis (13/9/2018).

Pegadaian akan berperan sebagai lender yang menggelontorkan dana bagi peminjam.

"Jadi fintech-fintech yang peer to peer tadi bisa datang ke pegadaian untuk kerja sama, channeling sehingga mereka yang menyalurkan, dananya dari Pegadaian," ujarnya.

Sejauh ini, lanjutnya, sudah ada 5 fintech besar di Tanah Air yang mengajukan diri untuk bekerjasama dengan Pegadaian. Namun dia enggan menyebutkan nama-nama fintech tersebut.

"Sudah ada beberapa nama yang dalam proses sekarang. Fintech gede-gede. Mereka minta sampai Rp 500 miliar gitu." kata dia. 

Kerjasama ini ditargetkan bisa terealisasi di triwulan IV 2018. Pegadaian juga tidak membatasi jumlah fintech yang ingin bekerjasama.

"Jadi nanti mereka minjem uang dari kita dan mereka pinjamkan ke nasabahnya, harganya gimana mereka. Kita dealnya dgn mereka adalah harga 'kulakan'," jelasnya.

Selain itu, Pegadaian juga menjalin kerjasama dalam bidang teknologi dengan fintech tersebut.

"Kita juga kerjasama teknologi karena kita juga sedang mengembangkan platform. Karena gini, sebagian fintech tadi kan ada yang fokus di online ada yang fokus di offline. Nah kita pengennya menjangkau semua, itulah kenapa kita kerjasama dengan banyak pihak fintech."

 

Filter Nasabah

Petugas melayani warga saat transaksi di pegadaian di Jakarta, Kamis (15/6). Transaksi gadai pun diperkirakan meningkat hingga 15 persen. (Liputan6.com/Faizal Fanani)#source%3Dgooglier%2Ecom#https%3A%2F%2Fgooglier%2Ecom%2Fpage%2F%2F10000

Ke depannya, Pegadaian juga akan melakukan filter nasabah yang layak mendapat kredit dan yang tidak layak.

"Karena yang penting di situ ada dua, satu adalah bagaimana membuat sistem untuk menseleksi para nasabahnya yang layak dapat kredit itu, itu restricting (pembatasan). Yang kedua mungkin collection." kata Teguh.

Dia mengungkapkan Pegadaian tidak main-main dalam transformasi digital tersebut. Bahkan separuh dari Capex (Capital Expenditure) Pegadaian tahun ini dialokasikan untuk digitalisasi.

"Total capex Pegadaian tahun ini Rp 1 Triliun lebih. Tapi kira-kira hampir 50 persen memang dipakai untuk digital. Banyak program yang dilakukan termasuk memperbaiki infrastrukturnya dimulai dari membangun data center, DRC, cyber security, big data." pungkas dia.

Reporer: Yayu Agustini Rahayu

Sumber: Merdeka.com

Saksikan Video Pilihan di Bawah Ini:


          Global Big Data in Oil and Gas Market Expected to Reach a Value of US $10,935.2 Mn by 2026      Cache   Translate Page      

The Big Data in Oil and Gas market is segmented based on component, data type, application, and region. By component, the market is segmented as software and services.

Albany, NY -- (SBWIRE) -- 09/13/2018 -- Growing volume, velocity, and variety of data in the oil & gas sector has resulted in increasing requirement for novel technologies for integrating and interpreting large amounts of structured and unstructured data. Constant search for efficient solutions by information technology providers has meant that opportunities are imminent for growth of the Big Data in oil & gas market. These insights have been gleaned from the report titled "Big Data in Oil and Gas Market – Global Industry Analysis, Size, Share, Growth, Trends, and Forecast 2018 – 2026," which has been recently added to Market Research Reports Search Engine's (MRRSE) repository.

For More Information Request Free Sample on Big Data in Oil and Gas Market Report @ https://www.mrrse.com/sample/16663

Technology providers are putting immense efforts to discover tools that are competent for processing Big Data in oil & gas industry. The report opines that upsurge in demand for oil is imminent, which in turn has led investments for oil production capacity extension. Avoiding the risk of steep increase in the oil prices is a key factor driving these investments. This need for increased oil exploration & production technologies, coupled with potential of insights derived from data generated in oil & gas sector, will continue to drive growth of the Big Data in oil & gas market.

Leading companies operating in the Big Data in oil & gas market are focusing on improvements in their operational performance by leveraging Big Data solutions, thereby upholding the market expansion. However, falling CAPEX – particularly in resource development, declining oil prices, and IT expenditure in oil & gas sector are key factors that are likely to arrest growth of the Big Data in oil & gas market to a certain extent.

Big Data in Oil & Gas Market: Scope of the Report

The report provides an in-depth analysis on the Big Data in oil & gas market for the period of forecast between 2016 and 2026. All major dynamics – drivers, restraints, trends, and opportunities – playing a major role in growth of the Big Data in oil & gas market have been covered and examined in detail.

The report offers a holistic view of the Big Data in oil & gas market, with the market size evaluated and delivered in terms of revenues (US$ Mn). Key regional segments, namely, South America, Middle East & Africa (MEA), Asia-Pacific (APAC), Europe, and North America have been studied, based on their lucrativeness for growth of the Big Data in oil & gas market.

Browse Complete Detail on Big Data in Oil and Gas Market Research Report with TOC @ https://www.mrrse.com/big-data-oil-and-gas-market

Big Data in Oil & Gas Market: Research Methodology

The research methodology on which the report on Big Data in oil & gas market has been compiled is proven & tested, and perfect amalgamation of primary & secondary researches and expert panel reviews. Primary interviews have been conducted with leading industry participants and experts to gain up-to-date insights, and validate intelligence obtained from exhaustive secondary researches.

Secondary research sources include investor presentations and SEC filings, external and internal proprietary databases, government publications, and industry white papers. Data collected and analyzed through secondary and primary researches is further examined and verified with the help of validation tools. The report serves as an authentic source of intelligence on Big Data in oil & gas market, so that report readers can make fact-based decisions for future growth direction of their businesses.

Enquire about this Report @ https://www.mrrse.com/enquiry/16663

About (MRRSE)
Market Research Reports Search Engine (MRRSE) is an industry-leading database of Market Research Reports. MRRSE is driven by a stellar team of research experts and advisors trained to offer objective advice. Our sophisticated search algorithm returns results based on the report title, geographical region, publisher, or other keywords. 

MRRSE partners exclusively with leading global publishers to provide clients single-point access to top-of-the-line market research. MRRSE's repository is updated every day to keep its clients ahead of the next new trend in market research, be it competitive intelligence, product or service trends or strategic consulting.

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For more information on this press release visit: http://www.sbwire.com/press-releases/global-big-data-in-oil-and-gas-market-expected-to-reach-a-value-of-us-109352-mn-by-2026-1043813.htm

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          Software Support Team Lead - amdocs - Toronto, ON      Cache   Translate Page      
From virtualized telecommunications networks, Big Data and Internet of Things to mobile financial services, billing and operational support systems, we are...
From Amdocs - Wed, 20 Jun 2018 17:58:24 GMT - View all Toronto, ON jobs
          Pre Sales Solution Expert - amdocs - Toronto, ON      Cache   Translate Page      
From virtualized telecommunications networks, Big Data and Internet of Things to mobile financial services, billing and operational support systems, we are...
From Amdocs - Wed, 13 Jun 2018 05:59:15 GMT - View all Toronto, ON jobs
          Kyvos Insights to Host Webinar on How Verizon has built an OLAP Cube with 168 Billion Fact Rows      Cache   Translate Page      
...years of analytics expertise and a passion for big data, the company aims to revolutionize big data analytics by providing business users with the ability to visualize, explore and analyze big data interactively, working directly on Hadoop or Cloud platforms. Headquartered ...

          Developer (ADMIN BIG DATA) – Constantia Kloof – Gauteng - Praesignis - Randburg, Gauteng      Cache   Translate Page      
Chef Elastic Search/ Logstash/Kibana1-. Standard Bank is a firm believer in technical innovation, to help us guarantee exceptional client service and leading...
From Praesignis - Sun, 22 Jul 2018 10:50:40 GMT - View all Randburg, Gauteng jobs
          Big Data Consultant - Accenture - Montréal, QC      Cache   Translate Page      
Choose Accenture, and make delivering innovative work part of your extraordinary career. Join Accenture and help transform leading organizations and communities...
From Accenture - Tue, 11 Sep 2018 05:50:55 GMT - View all Montréal, QC jobs
          業界人士講座系列 - How Big Data and FinTech Changed the World of Finance      Cache   Translate Page      
金發局與香港理工大學將於十月三十一日合辦論壇,論壇為金發局「業界人士講座系列」的項目。
 
 
如欲取得論壇的議程,請按此。(只供英文)
 
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業界人士講座系列 - How Big Data and FinTech Changed the World of Finance - 2018年10月31日
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Date for listing: 
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日期:2018年10月31日 地點:香港理工大學李兆基樓 Y302室
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          Big Data Management and Big Data Consulting Services      Cache   Translate Page      
Muoro Infotech Inc. is one of the leading IT services provider company based in USA, Canada, and Europe. We have expertise in consulting and implementation of end-to-end big data management and big data consulting services for numerous industries across the globe. Our team of seasoned professionals helps companies build applications for data warehousing and business intelligence using the fast-paced agile process for quick and continuous delivery of newer applications to extract meaningful... $1
          Senior Big Data Engineer - New Leaf Associates Inc - Reston, VA      Cache   Translate Page      
Work closely with Ab Initio ETL developers to leverage that technology as appropriate within our Cloudera Big Data environment....
From New Leaf Associates Inc - Tue, 11 Sep 2018 23:30:49 GMT - View all Reston, VA jobs
          Developer Enterprise Data Integration - Wipro LTD - McLean, VA      Cache   Translate Page      
Ab Initio ETL Testing-L2. Ab Initio ETL, Data Integration. Big Data, Ab Initio ETL Testing. Key skills required for the job are:....
From Wipro LTD - Tue, 11 Sep 2018 16:49:24 GMT - View all McLean, VA jobs
          Information Architect - Enterprise Data Integration - Wipro LTD - McLean, VA      Cache   Translate Page      
Ab Initio Big Data Edition. Ab Initio Big Data Edition-L3 (Mandatory). Ab Initio Big Data Edition Branding and Thought Leadership, Data Integration Design, Data...
From Wipro LTD - Mon, 30 Jul 2018 16:50:38 GMT - View all McLean, VA jobs
          Tudo a conjugar-se para asneira da grossa      Cache   Translate Page      
“Clausewitz describes the effects of friction in terms of two gaps. One gap, caused by our trying to act on an unpredictable external environment of which we are always somewhat ignorant, is between “desired outcomes and actual outcomes (as in the example of the simple journey of the overoptimistic traveler). Another gap, caused by internal friction, is the gap between the plans and the actions of an organization. It comes from the problem of information access, transfer, and processing in which many independent agents are involved (as in his example of a battalion being made up of many individuals, any one of whom could make the plan go awry).
...
The problem of strategy implementation is often reduced to one issue: the gap between plans and actions. How do we get an organization actually to carry out what has been agreed? However, because of the nature of the environment, even if the organization executes the plan, there is no guarantee that the actual outcomes will match the desired ones; that is, the ones the plan was intended to achieve. The two gaps interact to exacerbate each other. In both cases there is uncertainty between inputs and outputs. The problem of achieving an organization’s goals is not merely one of getting it to act, but of getting it to act in such a way that what is actually achieved is what was wanted in the first place. We have to link the internal and external aspects of friction and overcome them both at the same time. There is a third gap, the one between the two, which we must also overcome
...
So these two gaps collapse together, leaving three in all: the gaps between plans, actions, and the outcomes they achieve.
In the case of all three elements – plans, actions, and outcomes – there is a difference between the actual and the ideal. The ultimate evidence for this is that the actual outcomes differ from the desired ones. That means that the actions actually taken were different from those we should have taken. This in turn may have been because we planned the wrong actions (as in the case of the traveler) or because although we planned the right actions, people did not actually do what we intended (as in the case of the confused battalion). Or it may have been because of both. The causes of those shortfalls are different in each case.
...
And even if we make good plans based on the best information available at the time and people do exactly what we plan, the effects of our actions may not be the ones we wanted because the environment is nonlinear and hence is fundamentally unpredictable. As time passes the situation will change, chance events will occur, other agents such as customers or competitors will take actions of their own, and we will find that what we do is only one factor among several which create a new situation. Even if the situation is stable, some of the effects of our actions will be unintended. Reality will change...
So in making strategy happen, far from simply addressing the narrowly defined implementation gap between plans and action, we have to overcome three. Those responsible for giving direction face the specific problem of creating robust plans, and those responsible for taking action face the specific problem of achieving results in markets that can react unpredictably.
...
These real uncertainties produce general psychological uncertainty. We do not like uncertainty. It makes us feel uncomfortable, so we try to eliminate it.
...
[Moi ici: Isto gera uma tendência para mais informação, mais detalhe, mais controlo, mais procedimentos, mais...] show a consistent drive toward more detail in information, instructions, and control, on the part of both individuals and the organization as a whole. This response is not only a natural reaction for us as individuals, it is what the processes and structures of most organizations are set up to facilitate."
Tudo a conjugar-se para asneira da grossa, para microgestão, para big data...

Excerto de: Bungay, Stephen. “The Art of Action: Leadership that Closes the Gaps between Plans, Actions and Results”
          Big Data Instructor - busyQA Inc - Mississauga, ON      Cache   Translate Page      
Our customers include Klick Health, Moss Consultants, IBM, ADT, Tycos, eHealth Ontario and twoPLUGS. Visit our site:.... $50 an hour
From Indeed - Mon, 10 Sep 2018 15:05:48 GMT - View all Mississauga, ON jobs
          Los coches de Google Street View demuestran cómo varía la contaminación de una calle a otra      Cache   Translate Page      

Los coches de Google Street View demuestran cómo varía la contaminación de una calle a otra#source%3Dgooglier%2Ecom#https%3A%2F%2Fgooglier%2Ecom%2Fpage%2F%2F10000

No es la primera vez que Google usa sus coches 'Street View' para medir la contaminación en Estados Unidos; llevan haciéndolo desde 2014 y han puesto los resultados a disposición de científicos, investigadores, y también de la ciudadanía.

Junto a Environmental Defense Fund, la Universidad de Texas y Aclima han conseguido mapear la contaminación de forma local, bloque a bloque y a una elevada resolución y hoy se ha anunciado que 50 vehículos de Google harán lo propio en California. En otras palabras: los resultados de esta investigación nos muestran cómo varían las concentraciones de partículas contaminantes en un radio de menos de 1 km.

Medir la contaminación de cada calle e incluso detectar fugas de metano

Google Street View#source%3Dgooglier%2Ecom#https%3A%2F%2Fgooglier%2Ecom%2Fpage%2F%2F10000 Fuente: Environmental Science & Technology.

Según se explica en una nota de prensa publicada por Aclima, los automóviles de Google Maps Street View estarán equipados con un nodo de sensor móvil que generará instantáneas de dióxido de carbono (CO₂), monóxido de carbono (CO), óxido nítrico (NO), dióxido de nitrógeno (NO₂), ozono (O3) y material particulado (PM2.5) mientras los coches recolectan rutinariamente imágenes de Street View, en alta resolución espacial.

Los coches, equipados con esta plataforma de inteligencia ambiental, emprenderán su labor este otoño en Estados Unidos y también en otros países, aunque no se ha especificado cuáles. Esta información se añadirá a una base de datos pública ubicada en el site Google BigQuery.

Según el responsable del programa de Google Earth Outreach, Karin Tuxen-Bettman, "estas mediciones pueden proporcionar a las ciudades nuevos conocimientos a nivel de vecindario para ayudar a acelerar los esfuerzos en su transición hacia ciudades más inteligentes y más saludables".

Desde 2015, los vehículos de Google Street View equipados con la tecnología de Aclima han recorrido alrededor de 160.000 km en el Estado de California, uno de los más combativos contra el cambio climático, recolectando más de mil millones de datos que evalúan la calidad del aire de ciudades como Los Angeles o San Francisco.

Esto ha permitido medir la contaminación de cada calle y descubrir que de una manzana a otra los niveles se pueden disparar de forma alarmante, así como en las zonas colindantes a autopistas y áreas industriales, tal y como se desprende del estudio 'High-Resolution Air Pollution Mapping with Google Street View Cars: Exploiting Big Data', que puedes consultar aquí.

Aclima#source%3Dgooglier%2Ecom#https%3A%2F%2Fgooglier%2Ecom%2Fpage%2F%2F10000 Fuente: Environmental Science & Technology.

Un mapa de Oakland (California) elaborado por los investigadores mostraba cómo se forman puntos de mayor contaminación -como partículas de carbón negro, que provienen de la quema de combustible- cerca de casas, escuelas y centros comunitarios.

Otro de los logros que enumera Google es el de poder detectar fugas de metano con sus coches. En 2016 una empresa distribuidora de gas en Estados Unidos anunció que había utilizado los datos recolectados por los coches de la compañía para detectar una problema con sus tuberías y reducir las emisiones de metano un 83 %.

Foto | Google

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La noticia Los coches de Google Street View demuestran cómo varía la contaminación de una calle a otra fue publicada originalmente en Motorpasion por Victoria Fuentes .


          Los coches de Google Street View demuestran cómo varía la contaminación de una calle a otra      Cache   Translate Page      

Los coches de Google Street View demuestran cómo varía la contaminación de una calle a otra#source%3Dgooglier%2Ecom#https%3A%2F%2Fgooglier%2Ecom%2Fpage%2F%2F10000

No es la primera vez que Google usa sus coches 'Street View' para medir la contaminación en Estados Unidos; llevan haciéndolo desde 2014 y han puesto los resultados a disposición de científicos, investigadores, y también de la ciudadanía.

Junto a Environmental Defense Fund, la Universidad de Texas y Aclima han conseguido mapear la contaminación de forma local, bloque a bloque y a una elevada resolución y hoy se ha anunciado que 50 vehículos de Google harán lo propio en California. En otras palabras: los resultados de esta investigación nos muestran cómo varían las concentraciones de partículas contaminantes en un radio de menos de 1 km.

Medir la contaminación de cada calle e incluso detectar fugas de metano

Google Street View Fuente: Environmental Science & Technology.

Según se explica en una nota de prensa publicada por Aclima, los automóviles de Google Maps Street View estarán equipados con un nodo de sensor móvil que generará instantáneas de dióxido de carbono (CO₂), monóxido de carbono (CO), óxido nítrico (NO), dióxido de nitrógeno (NO₂), ozono (O3) y material particulado (PM2.5) mientras los coches recolectan rutinariamente imágenes de Street View, en alta resolución espacial.

Los coches, equipados con esta plataforma de inteligencia ambiental, emprenderán su labor este otoño en Estados Unidos y también en otros países, aunque no se ha especificado cuáles. Esta información se añadirá a una base de datos pública ubicada en el site Google BigQuery.

Según el responsable del programa de Google Earth Outreach, Karin Tuxen-Bettman, "estas mediciones pueden proporcionar a las ciudades nuevos conocimientos a nivel de vecindario para ayudar a acelerar los esfuerzos en su transición hacia ciudades más inteligentes y más saludables".

Desde 2015, los vehículos de Google Street View equipados con la tecnología de Aclima han recorrido alrededor de 160.000 km en el Estado de California, uno de los más combativos contra el cambio climático, recolectando más de mil millones de datos que evalúan la calidad del aire de ciudades como Los Angeles o San Francisco.

Esto ha permitido medir la contaminación de cada calle y descubrir que de una manzana a otra los niveles se pueden disparar de forma alarmante, así como en las zonas colindantes a autopistas y áreas industriales, tal y como se desprende del estudio 'High-Resolution Air Pollution Mapping with Google Street View Cars: Exploiting Big Data', que puedes consultar aquí.

Aclima Fuente: Environmental Science & Technology.

Un mapa de Oakland (California) elaborado por los investigadores mostraba cómo se forman puntos de mayor contaminación -como partículas de carbón negro, que provienen de la quema de combustible- cerca de casas, escuelas y centros comunitarios.

Otro de los logros que enumera Google es el de poder detectar fugas de metano con sus coches. En 2016 una empresa distribuidora de gas en Estados Unidos anunció que había utilizado los datos recolectados por los coches de la compañía para detectar una problema con sus tuberías y reducir las emisiones de metano un 83 %.

Foto | Google


          Big Data Instructor - busyQA Inc - Mississauga, ON      Cache   Translate Page      
Our customers include Klick Health, Moss Consultants, IBM, ADT, Tycos, eHealth Ontario and twoPLUGS. Visit our site:.... $50 an hour
From Indeed - Mon, 10 Sep 2018 15:05:48 GMT - View all Mississauga, ON jobs
          Project Manager Big Data - SINELEC S.p.A. - Tortona, Piemonte      Cache   Translate Page      
Studiare ed analizzare soluzioni analoghe già presenti o in via di immissione sul mercato, onde garantire la competitività in termini di costi e/o prestazioni...
Da SINELEC S.p.A. - Mon, 10 Sep 2018 20:53:38 GMT - Visualizza tutte le offerte di lavoro a Tortona, Piemonte
          Big Data Nudging involves dangers      Cache   Translate Page      

The default settings in apps are a current example of how behaviour is influenced and how citizens are “nudged” in a certain direction. A study shows the consequences of this interference and proposes a public nudge-register for more transparency. Die Widerspruchslösung bei der Organspende und die Einstellungen bei Apps sind aktuelle Beispiele dafür, wie das…

The post Big Data Nudging involves dangers appeared first on HIIG.


          Expert logistique et prévision de vente 4.0 h/f      Cache   Translate Page      
A ce titre, vos missions sont les suivantes : - Vous pilotez le Processus de mise à jour des prévisions de ventes et niveaux de stock dans le cadre des revues S&OP durant les différentes phases de vie produits (introduction, série et extinction). Cela consiste à : - Administrer les données de vente servant à l'établissement des prévisions ; - Fiabiliser et faire valider les prévisions de vente ; - Animer les réunions Sales and Operation Planning et challenger les prévisions des ventes auprès des réseaux commerciaux. - Optimiser les paramètres de gestion de stock de nos plateformes de distribution ; - Animer la gestion du carnet de commande pour optimiser la livraison des commandes clients ; - Vous participez à l'administration de la supply chain du produit dans les phases de lancement et d'extinction du produit en : - Challengeant l'optimisation des gammes de produits ; - Supportant le processus d'introduction de nouveaux produits (approvisionnement et planification des premiers lots de fabrications). - Gérant les activités logistiques liées à la mise en obsolescences des articles ; - Analysant les data logistiques pour la gestion et l'optimisation des couts liés à l'extinction des gammes produits ; - Vous êtes moteur dans la transformation de la supply chain et notamment sa digitalisation. - Votre compréhension et connaissance des systèmes de gestion de notre supply chain vous permettent d'identifier et mettre en oeuvre des outils permettant d'optimiser nos process existants. Dans ce cadre la connaissance d'outils de traitement de données tels que SQL, VBA vous seront nécessaire - Vous participez aux projets d'évolution de notre ERP et serez en interaction avec les autres Divisions du groupe dans le cadre de projets de développement. - Vous piloterez des projets d'amélioration de la supply chain liés au big data, à la transparence de la supply en créant des liens entre les différentes plateformes - systèmes. - Vous êtes en charge de : - Mettre en place des indicateurs de suivi d'activité et de performance, dans une dynamique d'amélioration continue ; - Supporter les autres entités de production, distribution et ventes de la Division.
          eBusiness & Commerce Analytics and Big Data Strategist - DELL - Round Rock, TX      Cache   Translate Page      
Why Work at Dell? Dell is an equal opportunity employer. Strong presentation, leadership, business influence, and project management skills....
From Dell - Tue, 22 May 2018 11:08:11 GMT - View all Round Rock, TX jobs
          Principal Program Manager - Microsoft - Redmond, WA      Cache   Translate Page      
Job Description: The Azure Big Data Team is looking for a Principal Program Manager to drive Azure and Office Compliance in the Big Data Analytics Services ...
From Microsoft - Sat, 28 Jul 2018 02:13:20 GMT - View all Redmond, WA jobs
          An Epic Approach Toward Liquid Biopsy      Cache   Translate Page      

The liquid biopsy space continues to attract investors and bring in financings that are typically above the average amount medtech firms are able to raise. Epic Sciences is the latest liquid biopsy company to obtain funding and has raised about $52 million in a series E round.

The San Diego, CA-based company said the financing was led by Blue Ox Healthcare Partners, with participation by Deerfield Management and Varian. Existing investors, including Altos Capital Partners, Genomic Health Inc., Domain Associates, VI Ventures, Alexandria Venture Investments, and Sabby Management, also participated in the financing.

“What we’ve been able to do with this financing is bring thought-leading investors from around the world who have really understood Epic’s long-term vision and invest in that global potential," Murali Prahalad, Ph.D., president and CEO of Epic Sciences, told MD+DI.

Epic’s tests are developed with the company’s technology platform called No Cell Left Behind, which uses computer vision and machine learning algorithms to identify rare cancer cells in the blood and characterize immune response simultaneously.

The proceeds from the financing will be used to advance the firm’s portfolio.

“We clearly want to accelerate clinical trials for proprietary tests in earlier phases of development in our pipeline,” Prahalad said. “We think there are some huge blockbuster products at earlier stages and this will help us really turbo charge those clinical trials and accelerate them."

He added that the other use of the funding would be to obtain the regulatory approvals on the platform depending on the specific use case.

“As we see international opportunities emerge and also as we advance conversations for companion diagnostic development, we’ll obviously take the platform through whatever is the appropriate regulatory approval for the intended use case,” Prahalad said.

With more than 20 publications, 65 pharma partners, and 45 academic collaborators, Epic said it has demonstrated how its insights can aid in the characterization of therapeutic response and the early detection of drug resistance. The company also plans to use big data analytics to integrate test results with electronic medical records, establishing patterns of cancer cell evolution, drug selection, and clinical outcomes.

Prahalad noted that Epic has arguably had a machine learning component with its test for years now.

“The Epic Platform itself… was the earliest utilizer of computer vision and machine learning,” he said. “What we would do was take that patient blood sample and look at all of the cells present. We would essentially get millions of cells at a time on a series of proprietary glass slides and then use a combination of immunofluorescent stains and then computer vision and biology to reveal itself. We would then use analytics to essentially understand what was a rare event i.e., a circulating tumor cell vs. what was an essentially normal immune cell present in that sample.”

Earlier this year, the Oncotype DX AR-V7 Nucleus Detect test was launched as the world’s first predictive blood test that extends life by indicating when a patient with castration resistant metastatic prostate cancer needs to switch from targeted therapy to chemotherapy. Developed by Epic Sciences, the Oncotype DX AR-V7 Nucleus Detect test is offered exclusively by Genomic Health and is commercially available in the US.


          Dell EMC pasa el big data de la nube a una red interna como servicio sin salir de las instalaciones      Cache   Translate Page      
Dell EMC se ha asociado con BlueData, proveedor de la plataforma de software basada en contenedores EPIC de autoservicio.
          Manager, Advertiser Analytics - Cardlytics - Atlanta, GA      Cache   Translate Page      
The big picture 1,500 banks. 120 million customers. 20 billion transactions per year. If you're looking for big data, you found it. Cardlytics helps...
From Cardlytics - Thu, 28 Jun 2018 14:35:01 GMT - View all Atlanta, GA jobs
          Senior Big Data Engineer - Cardlytics - Atlanta, GA      Cache   Translate Page      
The Big Picture There are many powerful big data tools available to help process lots and lots of data, sometime in real- or near real-time, but well...
From Cardlytics - Mon, 04 Jun 2018 18:44:44 GMT - View all Atlanta, GA jobs
          5 herramientas que tienes que conocer en Big Data      Cache   Translate Page      

El mercado del Big Data avanza a pasos agigantados; decidir ...

The post 5 herramientas que tienes que conocer en Big Data appeared first on CICE.


          Lithium Ion Batteries Provide Reliable Backup Power For Data Centers      Cache   Translate Page      

Lithium ion batteries are dominating the future of electric vehicles (EVs), personal electronics, and grid scale utility backup systems. One additional and relatively new application for lithium ion batteries is their use in uninterruptible power systems (UPS) for large data centers. Participants at the recent “Batteries to Support Critical Power Grids” workshop, which took place prior to The Battery Show in Novi, Michigan this week, heard Thomas Lynn, technical director of LiiON LLC, speak on that topic.

Thomas Lynn
Thomas Lynn from LiiON LLC explains the advantages of lithium ion batteries for UPS applications. (Image source: Design News)

Big Data

“The data center market, if I look at the lead-acid (battery) sector, is about $3 to $3.5 billion annually, globally. In North America, it is about $1.3 billion,” Lynn told Design News. “Lithium only has about 2 to 3 percent of that, but it’s starting to turn. The way the market works, you have the engineering design firms putting out a spec, and all those specs now have lithium in them,” he noted.

Lithium ion holds a number of advantages over lead acid in data center applications. First of all, the life expectancy of a lead-acid battery data center system is about 3 to 6 years. According to Lynn, a system built from lithium ion batteries will last much longer—as much as 15 to 20 years. This alone makes lithium more cost effective.

Another benefit provided by lithium ion batteries is the accurate information on the battery cell and pack health. This information can be obtained by the battery management system (BMS), which is used to monitor state of charge and cell temperature in a pack. A BMS is a necessary part of a lithium ion system to ensure that the battery cells remained balanced and within their voltage limits. The data provided by the BMS can also be used to accurately assess how well the battery system is operating.

LiiON S.E.S.

Lithium ion battery packs also boast lighter weight and smaller size compared to an equivalent lead-acid battery system. As a result, lithium can offer the same size with a smaller footprint or more power from a pack of the same physical size.

The lower weight is a huge factor, as a lithium pack has much lower floor loading than heavy lead-acid batteries. This allows lithium systems to be installed many floors above the ground without needing additional floor bracing. “I think it’s going to change the co-location data center, where you will start seeing high rises,” Lynn told us. “Instead of one or two story data centers, you will start seeing them go up because real estate is so expensive—especially in places like Ashburn, Virginia, the biggest hub in North America for data centers. The one we just worked on was three stories. I’m guessing the next one will be five stories. I think this is a transition in the market to look at different ways of doing it,” he said.

Chemistry

The preferred chemistry for lithium batteries used for data centers is lithium-iron-phosphate (LFP). These cobalt-free batteries have good power capacity, but do not store quite as much energy as the cobalt-containing cathodes of the chemistries used in EVs. LFP batteries are considered safer for flammability than their higher capacity cousins.

Ironically, as lithium-powered EVs are becoming more popular and making lithium ion batteries more mainstream, they are beginning to use up much of the available lithium supplies. “Now that the EV market is starting to take off, battery makers are shifting all of their resources there,’ said Lynn. “The lead time for the UPS market is (now) over 30 weeks, and this market expects 4 to 6 week deliveries. So they are starting to run into a big supply issue. Most of those guys (battery manufacturers) are running into the same thing. Nobody has enough capacity to match the EV (demand).” 

LiiON was established in 2009, specifically to address the application of lithium batteries in the standby power market. The small footprint of a system that can safely deliver mega-watts of power, nearly instantly in the event of a power grid failure, is providing yet another application that demonstrates the versatility of lithium ion battery systems.

Senior Editor Kevin Clemens has been writing about energy, automotive, and transportation topics for more than 30 years. He has masters degrees in Materials Engineering and Environmental Education and a doctorate degree in Mechanical Engineering, specializing in aerodynamics. He has set several world land speed records on electric motorcycles that he built in his workshop.

 

ESC, Embedded Systems ConferenceToday's Insights. Tomorrow's Technologies.
ESC returns to Minneapolis, Oct. 31-Nov. 1, 2018, with a fresh, in-depth, two-day educational program designed specifically for the needs of today's embedded systems professionals. With four comprehensive tracks, new technical tutorials, and a host of top engineering talent on stage, you'll get the specialized training you need to create competitive embedded products. Get hands-on in the classroom and speak directly to the engineers and developers who can help you work faster, cheaper, and smarter. Click here to register today!

 


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OR-REMOTE, Our client is currently seeking a Big Data Architect. This is a Full Time, Permanent position with a large Healthcare client of ours. This is 100% remote and our client is currently not available to sponsor. This job will have the following responsibilities: Coding, automation, and performance tuning of production analytical processes. Source code management and oversight of release processes with
          WEB DEVELOPER - Ace Technologies - West Alton, MO      Cache   Translate Page      
Our products include real-time streaming analytics from an expanding collection of connected devices, mobile data collection, visualization suites, big data...
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          Big data, big ethics: how to handle research data from medical emergency settings?      Cache   Translate Page      
The collection and use of our personal data has come under increased scrutiny and public attention in recent years, the introduction of EU General Data Protection Regulation (GDPR) being a prime example. When it comes to medical data, how do we balance protecting patients’ data with the benefits that big data and combined datasets bring to medical research? Here, Marieke Bak, one of the authors of research published today in Critical Care, talks us through this conundrum and the particular difficulties in obtaining consent in emergency settings.
          Big Data Consultant - Accenture - Montréal, QC      Cache   Translate Page      
Choose Accenture, and make delivering innovative work part of your extraordinary career. Join Accenture and help transform leading organizations and communities...
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          Senior Big Data Architect - HADOOP - Infosys Limited - Madison, WI      Cache   Translate Page      
*Job Summary* *External Role / Title*: Senior Big Data Architect - HADOOP. *Internal Role / Title*: Senior Technology Architect *Skillset*: Grid Computing...
From Indeed - Wed, 05 Sep 2018 03:54:05 GMT - View all Madison, WI jobs
          Software Engineer - CleMetric - Madison, WI      Cache   Translate Page      
PostgreSQL, Hadoop, MongoDB, etc. The candidates will work on design, development and real-time evaluation of big data management infrastructure for structured...
From CleMetric - Thu, 30 Aug 2018 23:59:32 GMT - View all Madison, WI jobs
          Manager, Advertiser Analytics - Cardlytics - Atlanta, GA      Cache   Translate Page      
The big picture 1,500 banks. 120 million customers. 20 billion transactions per year. If you're looking for big data, you found it. Cardlytics helps...
From Cardlytics - Thu, 28 Jun 2018 14:35:01 GMT - View all Atlanta, GA jobs
          Senior Big Data Engineer - Cardlytics - Atlanta, GA      Cache   Translate Page      
The Big Picture There are many powerful big data tools available to help process lots and lots of data, sometime in real- or near real-time, but well...
From Cardlytics - Mon, 04 Jun 2018 18:44:44 GMT - View all Atlanta, GA jobs
          Strategic Guide To Big Data Analytics Cio       Cache   Translate Page      
Dcument Of Strategic Guide To Big Data Analytics Cio
          What to do with the data? The evolution of data platforms in a post big data world      Cache   Translate Page      
Thought leader Esteban Kolsky takes on the big question: What will data platforms look like now that big data's hype is over and big data "solutions" are at hand?
          BI Development Manager - Nintendo of America Inc. - Redmond, WA      Cache   Translate Page      
Legacy DW transformation to Big Data experience is a plus. Nintendo of America Inc....
From Nintendo - Wed, 01 Aug 2018 14:28:49 GMT - View all Redmond, WA jobs
          Scientifique de données en Big Data - BelairDirect - Montréal, QC      Cache   Translate Page      
Maîtrise des techniques analytiques appliquées (clustering, decision trees, neural networks, SVM (support vector machines), collaborative filtering, k-nearest...
From belairdirect - Thu, 13 Sep 2018 14:41:28 GMT - View all Montréal, QC jobs
          Scientific publishing is a rip-off. We fund the research – it should be free | George Monbiot      Cache   Translate Page      
Those who take on the global industry that traps research behind paywalls are heroes, not thievesNever underestimate the power of one determined person.What Carole Cadwalladr has done to Facebook and big data, andEdward Snowden has done to the state security complex,Alexandra Elbakyan has done to the multibillion-dollar industry that traps knowledge behind paywalls.Sci-Hub, her pirate web scraper service, has done more than any government to tackle one of the biggest rip-offs of the modern era: the capture of publicly funded research that should belong to us all. Everyone should be free to learn; knowledge should be disseminated as widely as possible. No one would publicly disagree with these sentiments. Yet governments and universities have allowed the big academic publishers to deny thes...
          Vincent Granville posted a blog post      Cache   Translate Page      
Vincent Granville posted a blog post

Analytics Translator – The Most Important New Role in Analytics

Summary:  The role of Analytics Translator was recently identified by McKinsey as the most important new role in analytics, and a key factor in the failure of analytic programs when the role is absent. The role of Analytics Translator was recently identified by McKinsey as the most important new role in analytics, and a key factor in the failure of analytic programs when the role is absent.As our profession of data science has evolved, any number of authors including myself has offered different taxonomies to describe the differences among the different ‘tribes’ of data scientists.  We may disagree on the categories but we agree that we’re not all alike.Ten years ago, around the time that Hadoop and Big Data went open source there was still a perception that data scientists should be capable of performing every task in the analytics lifecycle. The obvious skills were model creation and deployment, and data blending and munging.  Other important skills in this bucket would have included setting up data infrastructure (data lakes, streaming architectures, Big Data NoSQL DBs, etc.).  And finally the skills that were just assumed to come with seniority, storytelling (explaining it to executive sponsors), and great project management skills.Frankly, when I entered the profession, this was true and for the most part, in those early projects, I did indeed do it all.Data Science – A Profession of SpecialtiesIt’s fair to say that today nobody expects this.  Ours is rapidly becoming a field of specialists, defined by data types (NLP, image, streaming, classic static data), role (data engineer, junior data scientist, senior data scientist), or by use cases (predictive maintenance, inventory forecasting, personalized marketing, fraud detection, chatbot UIs, etc.).  These aren’t rigid boundaries and a good data scientist may bridge several of these, but not all.Read full article here. (By Bill Vorhies)See More

          AWS Architect - Insight Enterprises, Inc. - Chicago, IL      Cache   Translate Page      
Database architecture, Big Data, Machine Learning, Business Intelligence, Advanced Analytics, Data Mining, ETL. Internal teammate application guidelines:....
From Insight - Thu, 12 Jul 2018 01:56:10 GMT - View all Chicago, IL jobs
          Big Data Architect      Cache   Translate Page      
OR-REMOTE, Our client is currently seeking a Big Data Architect. This is a Full Time, Permanent position with a large Healthcare client of ours. This is 100% remote and our client is currently not available to sponsor. This job will have the following responsibilities: Coding, automation, and performance tuning of production analytical processes. Source code management and oversight of release processes with
          Executive Director- Machine Learning & Big Data - JP Morgan Chase - Jersey City, NJ      Cache   Translate Page      
We would be partnering very closely with individual lines of business to build these solutions to run on either the internal and public cloud....
From JPMorgan Chase - Fri, 20 Jul 2018 13:57:18 GMT - View all Jersey City, NJ jobs
          Big benefits for a ‘big data’ driven workforce      Cache   Translate Page      
Data and connectivity now play a vital role in increasing the efficiency of production lines. In the Annual Manufacturing Report 2018, 91% of manufacturers believe that data-driven insights from connected machines and people will inform their...
          Senior Consultant Big Data (m/w/divers) im Bereich Data Management      Cache   Translate Page      
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           Posventa Prinex (Productivity)      Cache   Translate Page      

Posventa Prinex 1.0.2


Device: iOS Universal
Category: Productivity
Price: Free, Version: 1.0.2 (iTunes)

Description:

Posventa Prinex es una solución desarrollada por Prinex destinada a mejorar y proporcionar un mejor servicio a los clientes de una empresa inmobiliaria a través de una completa funcionalidad para poder realizar una buena gestión de los servicios de posventa como elemento clave y diferencial. Posventa Prinex está disponible para el rol de visitador y vía aplicativo web para el supervisor, permitiendo entre otras acciones:

- Crear incidencias preventa y posventa en la misma visita del inmueble de una forma ágil (con fotografías, documentación y conformidad de alta por el cliente) y todo desde un smartphone o Tablet.

- Gestión de incidencias por el supervisor: asignación a proveedores, tránsito de estados de las incidencias, etc.

- Emisión de partes de trabajo a los proveedores.

- Creación de un Big Data para su explotación

What's New

Corrección de errores y mejoras en la gestión de incidencias.

Posventa Prinex


          Как оценить эффективность образования с помощью Big Data?      Cache   Translate Page      
Реальный кейс
          Scientifique de données en Big Data - BelairDirect - Montréal, QC      Cache   Translate Page      
Maîtrise des techniques analytiques appliquées (clustering, decision trees, neural networks, SVM (support vector machines), collaborative filtering, k-nearest...
From belairdirect - Thu, 13 Sep 2018 14:41:28 GMT - View all Montréal, QC jobs
          BI Development Manager - Nintendo of America Inc. - Redmond, WA      Cache   Translate Page      
Legacy DW transformation to Big Data experience is a plus. Nintendo of America Inc....
From Nintendo - Wed, 01 Aug 2018 14:28:49 GMT - View all Redmond, WA jobs
          Big Data Engineer (m/f) (Part-or Fulltime) // Outfittery GmbH      Cache   Translate Page      

OUTFITTERY is Europe’s largest Personal Shopping Service for men. We know that shopping isn’t a pleasure for every man, but we’re here to change that! This is why we set a clear goal: a world where men have time for the important things in life and are still well-dressed. Your tasks: Build and maintain our data...

Check out all open positions at http://BerlinStartupJobs.com


          Hands-On Artificial Intelligence for Search      Cache   Translate Page      

Make your searches more responsive and smarter by applying Artificial Intelligence to it Key Features Enter the world of Artificial Intelligence with solid concepts and real-world use cases Make your applications intelligent using AI in your day-to-day apps and become a smart developer Design and implement artificial intelligence in searches Book Description With the emergence of big data and modern technologies, AI has acquired a lot of relevance in many domains. The increase in demand for automation has generated many applications for AI in fields such as robotics, predictive analytics, finance, and more. In this book, you will understand what artificial intelligence is. It explains in detail basic search methods: Depth-First Search (DFS), Breadth-First Search (BFS), and A* Search, which can be used to make intelligent decisions when the initial state, end state, and possible actions are known. Random solutions or greedy solutions can be found for such problems. But these are not optimal in either space or time and efficient approaches in time and space will be explored. We will also understand how to formulate a problem, which involves looking at it and identifying its initial state, goal state, and the actions that are possible in each state. We also need to understand the data structures involved while implementing these search algorithms as they form the basis of search exploration. Finally, we will look into what a heuristic is as this decides the quality of one sub-solution over another and helps you decide which step to take. What you will learn Understand the instances where searches can be used Understand the algorithms that can be used to make decisions more intelligent Formulate a problem by specifying its initial state, goal state, and actions Translate the concepts of the selected search algorithm into code Compare how basic search algorithms will perform for the application Implement algorithmic programming using code examples Who this book is for This book is for developers who are keen to get started with Artificial Intelligence and develop practical AI-based applications. Those developers who want to upgrade their normal applications to smart and intelligent versions will find this book useful. A basic knowledge and understanding of Python are assumed. Downloading the example code for this book You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you.


          Sr Software Engineer ( Big Data, NoSQL, distributed systems ) - Stride Search - Los Altos, CA      Cache   Translate Page      
Experience with text search platforms, machine learning platforms. Mastery over Linux system internals, ability to troubleshoot performance problems using tools...
From Stride Search - Tue, 03 Jul 2018 06:48:29 GMT - View all Los Altos, CA jobs
          Approaches to Embrace Big Data      Cache   Translate Page      
Not every organization starts its big data journey from the same place. Some have robust business intelligence functions and capabilities, while others are doing great things with Excel. However, in order to drive efficiencies, support expected future growth and to continue its evolution to a data-driven company, most organizations are reviewing their current suite of software […]
          Después de haber estudiado una ingeniería, esto es lo que recomiendo comprar (2018)      Cache   Translate Page      

Después de haber estudiado una ingeniería, esto es lo que recomiendo comprar (2018)#source%3Dgooglier%2Ecom#https%3A%2F%2Fgooglier%2Ecom%2Fpage%2F%2F10000

La rentrée a la universidad está a la vuelta de la esquina. Tras elegir las asignaturas que vamos a estudiar y comprar la bibliografía correspondiente, muchos estudiantes se verán en un dilema complicado: qué equipo comprar para estudiar una ingeniería. Y es que comprar un ordenador no solo resulta una inversión importante, sino que podemos arrastrar esta mala elección durante años.

Hemos consultado a varios estudiantes o recién graduados en ingeniería sobre qué equipo usan en su día a día: calculadoras, software, ordenador, tabletas, etc., y por qué lo compraron, grandes errores y compras maestras. Esto es lo que nos han dicho.

Charlamos con Manuel Santos (estudiante de 4º curso de ingeniería informática en la Universidad de Sevilla), Ana Cruz (graduada en ingeniería informática y cursando el máster en Business Intelligence and Big data en la UOC), Iván Carrillo (estudiante de 2º curso de ingeniería aeroespacial en la Universidad Politécnica de Madrid) y Antonio Pérez (estudiante de 4º curso de ingeniería industrial en la Politécnica de Madrid).

¿Qué ordenador usas para tu carrera?

Tener un ordenador es requisito indispensable para estudiar una ingeniería: referencias, exámenes, trabajos, simuladores, asignaturas basadas en manipular software...eso sí, tú decides si prefieres que sea un ordenador portátil o uno de sobremesa.

Mientras que un ordenador portátil es más ligero y versátil, los de sobremesa son más asequibles y cómodos para trabajar

Los ordenadores de sobremesa tienen la ventaja de que se pueden fabricar a piezas, actualizarlos es más fácil y para unas mismas especificaciones son más baratos que los portátiles.

Por otro lado, en muchos casos la movilidad es un factor importante: para llevarlo a la universidad, si te has ido a estudiar fuera, si estudias en la biblioteca...

Sin embargo, si tienes que llevar un ordenador a cuestas durante todo el día también agradecerás que sea ligero y tenga una autonomía considerable. Después de todo, los enchufes no suelen abundar en las universidades.

Pero si vas a pasar horas frente a su pantalla, agradecerás que sea grande y de calidad. No obstante una pantalla de un buen tamaño vuelve a jugar en tu contra en el apartado de movilidad. Aunque siempre nos quedarán los ultrabooks potentes y ligeros, si es que podemos permitírnoslos.

Ponemos la cuestión encima de la mesa y nuestros entrevistados responden: ¿qué ordenador usas para tu carrera?

Toshiba

Mucho ha cambiado la Universidad desde que entré por primera vez hace 15 años hasta ahora, que estoy cursando mi segunda ingeniería. Por aquel entonces compré un Acer de 15 pulgadas que apenas llevaba a la universidad porque me manejaba con apuntes en papel, pero he de decir que lo pesado que era y el tener que cargar con su enorme adaptador me hacía trasladarlo hasta allí solo cuando era imprescindible.

En este sentido, creo que he salido ganando mi MacBook Pro de 13 pulgadas actual, más ligero y con una autonomía tal que me permite olvidarme del cargador durante la jornada, los días que me toca desplazarme hasta la UNED. Allí no suele haber demasiados ordenadores y los que hay son bastante antiguos.

Eso sí, no es perfecto: a veces echo en falta las conexiones típicas, por lo que en mi mochila no falta un adaptador para lograr más puertos USB y una toma HDMI.

  • Manuel Santos: "Tengo una torre y un portátil. Al ser una carrera de informática necesitaba un equipamiento muy concreto. En primero de carrera (2014) adquirí un portátil teniendo en cuenta que contaba con un presupuesto limitado. Quería que fuera fino y con un hardware equilibrado, así que me compré el Acer V5-552G por unos 600 euros, que tenía 8 GB de RAM, 1 TB de disco duro y procesado APU AMD A10 y una gráfica dedicada Radeon HD 8750M de las antiguas. La torre está hecha a piezas y me ha he comprado hace unos meses: 32 GB de RAM, procesador i5 8600K, de disco duro 1 TB y 128 GB de SSD y de gráfica una AMD R7 370 OC de 4 GB. Es un pepino que también uso para jugar"

  • Ana Cruz: "Antes de empezar el máster online me compré un portátil que uso tanto en casa como cuando me voy de viaje de trabajo. Quería que tuviera mucha RAM y un procesador lo más potente posible, disco duro sólido y sin gastarme demasiado teniendo en cuenta estas características top. Me compré un portátil DELL porque era los que había visto en la oficina. Es el DELL Inspiron 7359 con procesador i7-8550U y 16 GB de RAM, que combino con una pantalla de 22 pulgadas cuando estoy en casa".

Programar
  • Iván Carrillo: "Cuando comencé la carrera me di cuenta que el ordenador que tenía en ese momento (Acer Aspire 5750G) se había quedado corto, así que me compré un MacBook Pro de 15 pulgadas(2.510,26 euros). Escogí el modelo más completo, con un procesador de 2,6 GHz Intel Core i7, una memoria de 16 GB RAM, con dos tarjetas gráficas, una Radeon pro y otra Intel HD.Mi objetivo era comprarme un ordenador al inicio de la carrera, y poder convivir con él hasta el final de la misma, incluido el máster, es decir, un total de 6 años. Quería un portátil con una batería potente para no cargarlo en la universidad, que no se sobrecalentase en exceso, silencioso. Aunque parece una tontería, buscaba un dispositivo bonito, algo con lo que estuviese contento los 6 años. Inicialmente pretendía gastar una cifra de entre 700-1300 euros, porque aunque es mucho dinero, era una inversión para muchos años. Sin embargo, tras ir mirando ordenadores y optar a una buena beca, acabe decantándome por un Mac."

  • Antonio Pérez: "Tengo dos ordenadores de sobremesa casi idénticos hechos a piezas, uno para la casa de mi madre y otro para la de mi padre: "Están montadas en cajas Nox Coolbay VX y llevan Intel Cores i5 4570K y Gigabyte GTX 660 OC. Uno tiene montado un combo SSD y HDD y el otro solo lleva HDD. La RAM son 2x4GB DDR3 2.133Mhz CL8, que en ese momento estaban a buen precio.Los apuntes los tomo a mano y muy de vez en cuando llevo un Acer Aspire 5750G que tengo desde hace 6 años, que en su día estaba muy bien con su i7 y gráfica dedicada, pero al final me sale más a cuenta un ordenador de sobremesa en cada casa que un portátil bueno de verdad."

Ojo al sistema operativo

Windows Linux

Si quieres evitar problemas de compatibilidades con el software de la carrera, Windows es tu sistema operativo. No obstante siempre quedarán las particiones si quieres convivir con Linux o las máquinas virtuales.

En mi experiencia, en algunas asignaturas sufro al tener que buscar programas compatibles con macOS y termino usando VirtualBox, con el consecuente aumento de recursos consumidos al tener que emplear un emulador, o lo que es lo mismo, un ordenador con Windows 10 dentro de mi Mac. ¿Les pasará también a nuestros estudiantes entrevistados?

  • Manuel Santos : "Mi Acer ha ido pasando por Windows 8 que venía de serie, Windows 8.1 y Windows 10. Yo di rápidamente el salto a Windows 10 porque el 8 era poco intuitivo, estaba enfocado a su uso táctil y no era muy funcional. Windows 10 ha aunado bien Windows 7 y Windows 8 creando un sistema bastante robusto. Creo que Windows es lo mejor para una ingeniería, sobretodo si usas programas antiguos porque no hay versiones para otros sistemas. Eso sí, te toca tirar de modo de compatibilidad o incluso de máquinas virtuales".

  • Ana Cruz: "En mi máster varios estudiantes contaban con ordenadores Apple y lo pasaron muy mal instalando software de Big Data. Aunque está contemplado y teóricamente se podía hacer, la instalación era mucho más compleja y daba más problemas. Yo uso Windows 10 y no he tenido ningún problema."

  • Ivan Carrillo: "Es cierto que Windows es el software más popularizado en toda Europa, y por tanto las escuelas suelen emplearlo para sus clases. Sin embargo, con un poco de idea se puede hacer exactamente lo mismo en Mac. Además, cabe destacar que los Mac cuentan con una herramienta llamada Bootcamp, que te guía en el proceso de instalación de Windows en tu equipo Mac, usando una partición de tu disco con el espacio que tú consideres necesario y funciona muy bien. Si puedo elegir, antepongo siempre el sistema MacOS a Windows, por su rapidez, fluidez, ecosistema y usabilidad."

  • Antonio Pérez: "Uso Windows 10. Creo que es el más compatible con el software que uso y nunca me ha dado problemas. Además, si Windows te da cualquier fallo hay mucho más soporte en foros. Es la comunidad más grande"

Software: cada carrera es un mundo

Office

Hay software común a todas las ingenierías (y me atrevería a decir que a todas las carreras) como son los navegadores o las suites de ofimática. Eso sí, en 2018 todavía encontramos plataformas y servicios online que solo funcionan bien en Internet Explorer. En cuanto al software de ofimática, si vas a trabajar en grupo o a usar diferentes ordenadores, mejor decantarse por el pack de Microsoft Office o incluso trabajar online con la suite de Google.

Antes de lanzarte a comprar software que vayas a usar en tu carrera, has de saber que muchas universidades tienen acuerdos con las empresas desarrolladoras, de modo que existen licencias específicas para estudiantes del centro. Del mismo modo, también hay programas con precios especiales para el sector educativo. Para informarte puedes consultar en la web de tu universidad, preguntar al profesorado o visitar la web del programa. Por ejemplo, como puedes ver en su página, Microsoft Office 365 es gratis para alumnos y profesores.

En mi caso, en ingeniería química he tenido que usar Matlab para todas las asignaturas de matemáticas, AutoCad y SolidWorks para dibujo, HEC-RAS para simular el funcionamiento de fluidos y EES para resolver ecuaciones. Pero cada carrera tiene asignaturas y programas diferentes.

  • Manuel Santos: "Para mí lo mejor es Office, que te lo dan gratis solo por ser estudiante universitario en cualquier universidad española. Es un software muy potente y cada vez es mejor. En clase normalmente nos proporcionan el software o nos dan alternativas opensource, por ejemplo Notepad++ para programar".

  • Ana Cruz : "En el máster estoy usando muchísimos programas: integradores de datos en la nube como Talend y Pentaho, Microsoft SqlServer, administradores de bases de datos como Toad, gestores de MongoDB como MMS, Qlik Sense para Business Intelligence, R Studio para datos estadísticos, Hadoop para el Big Data más puro...en el curso nos han facilitado los accesos, pero todo era en remoto mediante un escritorio virtual con Citrix. Para que nos entendamos, en la nube."

  • Ivan Carrillo: "En cuanto a software específico, este año he tenido que usar sobre todo, a nivel de programación, el Geany y el GFortran, un editor de programas y un compilador. Ambos tiene un software adaptado tanto a Windows como para Mac. Los programas nos los aportó el profesor, pero es un software libre al que cualquiera puede acceder desde sus paginas web oficiales."

  • Antonio Pérez: "Yo uso básicamente Office, R-Studio, Solid Edge, y Matlab. Salvo el Office, el resto del software me lo explicaron los profesores durante los primeros días de clase. Te mandan un código a tu mail universitario y con eso te validas para usarlo."

Los dispositivos indispensables en tu mochila

Nunca te arrepentirás de llevar una memoria USB encima. A lo largo de los años he ido atesorando unas cuantas y siempre acabas usándolas: para guardar documentos importantes, prácticas, compartir trabajos... es verdad que la nube es una gran herramienta, pero a veces internet falla y no hay nada como el soporte físico. Aunque parezca que todas son iguales más allá de su capacidad, merece la pena invertir en memorias rápidas con USB 3.0 porque algunas que te regalan de publicidad son un dolor a la hora de transferir datos.

Otro auténtico must son las calculadoras. En mi caso, arrastré la vieja Casio del instituto hasta la universidad, donde me compré una gráfica Texas TI-89 (210,99 euros) porque era más barata que las populares de HP. Mi gozo en un pozo: había exámenes en los que no podíamos llevar calculadoras programables y en los que te permitían llevar de todo, también podías usar el portátil. No obstante, una buena calculadora gráfica puede ayudarte mucho resolviendo operaciones largas y complejas... si te dejan usarla. ¿Qué dispositivo no puede faltar en la mochila de nuestros entrevistados?

  • Manuel Santos: "Tengo un disco duro WD Elements de 1 TB ( 58 euros en PcComponentes) que uso para guardar todo lo que es importante: matrícula, prácticas, exámenes.. así lo tengo por duplicado. Es un disco rápido, ligero, no da fallos por el momento y me salió bien de precio."

  • Ana Cruz: "Si te decantas por comprar un ordenador portátil bueno como equipo único y pasas muchas horas delante de él, al final es normal que acabes comprándote un monitor para no quedarte sin ojos. Yo tengo un monitor de 22 pulgadas bastante normalito de BenQ comprado de oferta, pero créeme que lo noto mucho. Eso sí, estoy valorando dar el salto a una pantalla más grande y con 4K."

Macbook Adaptador
  • Iván Carrillo: "Este año me ha servido con una calculadora muy normalita, concretamente una casio fx-570ES; pero para el año que viene necesito una calculadora más compleja para resolver funciones y ver gráficas, una calculadora programable tipo HP 50g (300,32 euros) que es la que llevan otros alumnos de mi carrera. Como mi MacBook Pro solamente tiene 4 puertos USB-C, el accesorio que más empleo es un adaptador multi-salida con HDMI, RJ-45, USB 3.0 y USB-C, con el cual puedo conectar todos los dispositivos que uso a diario, como por ejemplo memorias USB."

  • Antonio Pérez: " Yo sigo con mi Casio fx570-X Plus (15 euros) del instituto, pero solo para los exámenes, ya que en mi universidad no permiten el uso de calculadoras programables. Para el día a día normalmente a clase solo llevo el iPad Pro (666,36 euros que me regalaron en la Navidad de 2015 por tema de peso y organización. Lo uso tanto para estudiar apuntes (que tomo a lápiz y boli para luego digitalizarlos), exámenes y bibliografía como para resolver ecuaciones con la aplicación Wolfram Alpha, que hace que no necesites una calculadora gráfica y es mucho más cómoda e intuitiva de usar."

¿Qué comprar para estudiar una ingeniería?

estudiante

Hemos hablado con estudiantes de diferentes ingenierías y cada uno nos ha contado sus experiencias y las herramientas de trabajo que ellos les funcionan.

Si tienes dudas acerca de qué comprar, lo mejor es preguntar a personas que hayan estado en tu misma situación y observar qué llevan los demás para saber sus ventajas e inconvenientes. Nada como la experiencia para orientarnos.

Aunque hay divergencias en nuestros testimonios, todos tienen claro que para usar software propio de ingeniería han de usar un equipo con procesador potente y suficiente RAM para ejecutarlos.

Hay usuarios que prefieren apostar por un sobremesa, más barato y fácilmente actualizable. Otros prefieren la movilidad de un portátil, sabiendo que además de la potencia será necesario que sea ligero y con buena autonomía. No obstante, si no vas a moverlo mucho también puedes decantarte por un portátil más grande y cómodo a la hora de trabajar.

Esto es lo que nuestros entrevistados recomiendan:

  • Manuel Santos :"Un portátil es lo más cómodo para trabajar siempre con el mismo equipo, aunque ha de cumplir ciertos requisitos: 13 pulgadas es un tamaño perfecto para movilidad y trabajar, a no ser que estudies arquitectura por el tema de planos. En cuanto a RAM, 8 GB mínimo para que no se quede colgado programando. Un detalle que parece una tontería pero no lo es son los discos duros SSD: cuanto más rápido vaya un portátil, mejor, y si se te olvida algo y tienes que encenderlo, con los disco duro sólido tardas muy poco tiempo. En cuanto llegues a la universidad pregunta por el software, porque hay muchos recursos que tenemos al alcance y desconocemos. Asimismo, a mi me salvó la vida una maleta que sea compacta, segura y cómoda para llevar el portátil. Yo tengo la Case Logic 39,90 euros."
Mochila
  • Ana Cruz: "Creo que un portátil es lo mejor para trabajar en casa y en la universidad. Si además te pasa como a mi, que me tuve que estudiar fuera, pues más razón todavía. Por mi experiencia recomendaría invertir en RAM y en procesador, porque el software de informática tira de procesador principalmente, así que iría a por un i7 y 16 GB de RAM. Luego está el tema de la comodidad: aunque 10-11 pulgadas sea muy cómodo por lo ligero, te vas a dejar los ojos. Creo que 13 pulgadas es un tamaño perfecto. Si pesa unos 2 kilos, mejor que mejor. Luego hay cosas que puedes comprar o mejorar más adelante: un disco duro por si te quedas corto de espacio, un monitor o un televisor para conectar tu ordenador... insisto mucho en esto porque es fácil tener una TV en casa para ti y es muy cómodo conectarlo al portátil para trabajar. Incluso la RAM la puedes actualizar más tarde en los sobremesa y en muchos portátiles".

  • Iván Carrillo: "Para mi está claro es fundamental un portátil ligero, delgado y fino, algo que puedas cargar en la mochila sin darte cuenta y que guarde una buena proporción pantalla-tamaño, vamos que se vea grande pero que ocupe lo mínimo. Así que o 13 pulgadas que cabe muy bien en el pupitre, o 15 pulgadas que es más versátil. La rapidez es imprescindible para una carrera como la aeroespacial, naval o industriales, que son las más exigentes. Se necesita un equipo para uso continuo durante horas: desarrollando programas, consultas... de ahí que eligiese un i7. Aunque bien es cierto que no es necesario para los primeros cursos de la carrera, más adelante se agradece mucho. Teniendo en cuenta todo esto, yo recomiendo los Asus Zenbook o los MacBook. Los productos Apple son perfectos para estudiantes de nuestras características: son equipos fiables, duraderos, con gran autonomía, muy potentes y veloces, bonitos y que transmiten una gran experiencia de usuario. Su principal hándicap es el precio, pero yo por ejemplo al comprar mi equipo recibí unos cascos Beats gratis valorados en 300 euros y un 10% de descuento en mi compra por acreditar que era estudiante. Al final la diferencia no es tanta con ordenadores Windows de similares características."

  • Antonio Pérez: "En clase veo muchos MSI de gaming grandes. Yo valoro la pantalla y la autonomía pero con potencia suficiente para ejecutar mis programas, con gráfica dedicada... Obviamente cuanta mas potencia, menos autonomía. No me gastaría demasiado porque al final cuanta mas potencia, menos autonomía. En tema de ordenadores prefiero gama alta porque dura mucho más, sino pronto se queda obsoleta y siempre hay buenas ofertas."

Si has decidido estudiar una ingeniería o estás estudiándola, ¿qué equipo consideras imprescindible? Cuéntanos por favor tu experiencia en los comentarios.


          Explore How to Deploy the Unruly Power of Machine, Platform, and Crowd in the SC18 Keynote Address by MIT's Erik Brynjolfsson      Cache   Translate Page      
...Digital Economy. His research draws on Big Data, Artificial Intelligence/Machine Learning, and HPC and also examines the effects of information technologies on business strategy, productivity and performance, digital commerce, and intangible assets. He teaches MIT courses on the Economics of ...

          Front End Software Engineer - Ubidata - Etterbeek      Cache   Translate Page      
Do you want to build with us the Smart Logistics solution for the future? Do you want to join a dynamic, flexible team in a growing company? Do you want to bring IoT, Big Data, and shortly IA concepts together to gather data from the field and transform them into relevant information? Do you want to develop tools to make logistics more sustainable and effective? Then, join Ubidata as Software Engineer - Front End Your job Your primary focus will be development of visual and interactive...
          09/19/18: Fintech Seminar series, Fall 2018      Cache   Translate Page      
The seminar series provides a holistic view of the reshaping and redefining of the financial industry and its new challenges and new opportunities.

fintech_fall2018_3.png


The financial industry is facing new challenges and new opportunities stemming from

  • digitalisation and new technologies, such as blockchain technology, platform technology, big data and data analytics, machine learning and artificial intelligence,
  • the rapidly changing global landscape with new Fintech start-ups and large tech companies, and
  • new regulation.

The seminar provides a holistic view on how these factors are powerfully reshaping and redefining the financial industry. The outcome of this development is unknown.

Several topical subjects will be presented by Finnish top experts on Fintech, representing both traditional financial institutions and start-up companies.

The seminar is free-of-charge and open to everyone. Welcome!

Enrolment: you can enrol from here. Read more about the Aalto Fintech seminar.

The seminar will take place in September and October 2018 in TUAS building, lecture hall AS2, Maarintie 8, Otaniemi Campus. Otaniemi Campus Map (pdf).


Schedule
 

Wednesday 19.9. at 16.15-17.45

  • Olli Rehn, Governor of the Bank of Finland
    Digital transformation in the financial industry: what’s good for the society?
  • Asko Mustonen, If
    Chatbots – how AI effects customer experience now and in the future

Wednesday 26.9. at 16.15-18.00

  • Ari Kaperi, Head of Group Credit Risk Management, Country Senior Executive in Finland, Nordea Finland
    Digitalisation – Changing risk landscape
  • Hanno Nevanlinna, Futurice
    New culture in finance demands new leadership
  • Mika Vainio-Mattila, Digital Workforce Services
    The workforce of the future will be digital – Implications for organisations today

Wednesday 3.10. at 16.15-17.45

  • Piia-Noora Kauppi, President, Finanssiala
    Europe & FinTech – The @ge of @ppenomics & ecosystems
  • Mika Kuusela, OP Financial Group
    Advanced experiences of Robotic Process Automation RPA as a tool of efficiency in a large financial group

Wednesday 10.10. at 16.15-17.45

  • Matti Hellqvist, Senior Economist, Bank of Finland
    Blockchain and distributed ledgers – bridges from theory to practice
  • Juho Isola, Taviq
    How to sell your Fintech ideas and make them a reality: skills, attitude, and other things you need in Fintech

Wednesday 17.10. at 16.15-18.00

  • Henrik Husman, President, Nasdaq Helsinki, Vice President, Cash Equities
    Products, Nasdaq Nordic
    Nasdaq and exploration of innovative technologies today
     
  • Sami Honkonen, Tomorrow Labs
    Building a digital, blockchain-based real estate trading platform
  • Alexander Yin, TCG
    Presentation on Fintech and AI in China

For further information, please contact ruth.kaila@aalto.fi, School of Science, Department of Industrial Engineering and Management

For students: see MyCourses, TU-EV Fintech Seminar 2018, 1-3 credit units


          Data Scientist - Big Data Platform - Trillium Health Partners - Mississauga, ON      Cache   Translate Page      
We will apply advanced analytics and artificial intelligence to uncover new insights to better investigate, innovate and plan but ultimately to improve the...
From Trillium Health Partners - Thu, 13 Sep 2018 17:37:50 GMT - View all Mississauga, ON jobs
          Big Data Integration Architect - Canadian Tire Corporation - Calgary, AB      Cache   Translate Page      
Real time analytics. Interested in being a part of a team that is leading the evolution of retail in Canada?...
From Canadian Tire - Sat, 21 Jul 2018 05:28:16 GMT - View all Calgary, AB jobs
          Sr Informatica MDM Architect/Developer      Cache   Translate Page      
MN-Hopkins, job summary: Project Description: As a Senior Informatica MDM Architect/Developer you will work on a product team using Agile Scrum methodology to design, develop, deploy and support solutions that leverage the Client's big data and Informatica MDM platform. The MDM SME will work with Enterprise Architecture, D&BI Solution Architects, and Data Engineers to uncover end-to-end data requirements in c
          Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction. (arXiv:1809.04188v1 [cs.LG])      Cache   Translate Page      

Authors: Jianguo Zhang, Ji Wang, Lifang He, Zhao Li, Philip S. Yu

With the development of cloud computing and big data, the reliability of data storage systems becomes increasingly important. Previous researchers have shown that machine learning algorithms based on SMART attributes are effective methods to predict hard drive failures. In this paper, we use SMART attributes to predict hard drive health degrees which are helpful for taking different fault tolerant actions in advance. Given the highly imbalanced SMART datasets, it is a nontrivial work to predict the health degree precisely. The proposed model would encounter overfitting and biased fitting problems if it is trained by the traditional methods. In order to resolve this problem, we propose two strategies to better utilize imbalanced data and improve performance. Firstly, we design a layerwise perturbation-based adversarial training method which can add perturbations to any layers of a neural network to improve the generalization of the network. Secondly, we extend the training method to the semi-supervised settings. Then, it is possible to utilize unlabeled data that have a potential of failure to further improve the performance of the model. Our extensive experiments on two real-world hard drive datasets demonstrate the superiority of the proposed schemes for both supervised and semi-supervised classification. The model trained by the proposed method can correctly predict the hard drive health status 5 and 15 days in advance. Finally, we verify the generality of the proposed training method in other similar anomaly detection tasks where the dataset is imbalanced. The results argue that the proposed methods are applicable to other domains.


          An Approach to Handle Big Data Warehouse Evolution. (arXiv:1809.04284v1 [cs.DB])      Cache   Translate Page      

Authors: Darja Solodovnikova, Laila Niedrite

One of the purposes of Big Data systems is to support analysis of data gathered from heterogeneous data sources. Since data warehouses have been used for several decades to achieve the same goal, they could be leveraged also to provide analysis of data stored in Big Data systems. The problem of adapting data warehouse data and schemata to changes in these requirements as well as data sources has been studied by many researchers worldwide. However, innovative methods must be developed also to support evolution of data warehouses that are used to analyze data stored in Big Data systems. In this paper, we propose a data warehouse architecture that allows to perform different kinds of analytical tasks, including OLAP-like analysis, on big data loaded from multiple heterogeneous data sources with different latency and is capable of processing changes in data sources as well as evolving analysis requirements. The operation of the architecture is highly based on the metadata that are outlined in the paper.


          Forecasting Across Time Series Databases using Recurrent Neural Networks on Groups of Similar Series: A Clustering Approach. (arXiv:1710.03222v2 [cs.LG] UPDATED)      Cache   Translate Page      

Authors: Kasun Bandara, Christoph Bergmeir, Slawek Smyl

With the advent of Big Data, nowadays in many applications databases containing large quantities of similar time series are available. Forecasting time series in these domains with traditional univariate forecasting procedures leaves great potentials for producing accurate forecasts untapped. Recurrent neural networks (RNNs), and in particular Long Short-Term Memory (LSTM) networks, have proven recently that they are able to outperform state-of-the-art univariate time series forecasting methods in this context when trained across all available time series. However, if the time series database is heterogeneous, accuracy may degenerate, so that on the way towards fully automatic forecasting methods in this space, a notion of similarity between the time series needs to be built into the methods. To this end, we present a prediction model that can be used with different types of RNN models on subgroups of similar time series, which are identified by time series clustering techniques. We assess our proposed methodology using LSTM networks, a widely popular RNN variant. Our method achieves competitive results on benchmarking datasets under competition evaluation procedures. In particular, in terms of mean sMAPE accuracy, it consistently outperforms the baseline LSTM model and outperforms all other methods on the CIF2016 forecasting competition dataset.


          Enterprise Security Needs an Open Data Solution       Cache   Translate Page      
What would it look like if more than a tiny fraction of enterprises had access to all the signals hidden in their big data today?
          7 key features of big data analytics tools to take into account      Cache   Translate Page      
Do you think that managing massive amounts of data is a situation that threatens to outstrip your technical ability? Well, in that case, one requires simplifying data architecture (both structured and unstructured data) by conducting effective strategies in place. Here’s when big data comes into play!
          Red Hat Business News      Cache   Translate Page      

read more


          Crisis in the Archives      Cache   Translate Page      

Critics of the executive branch’s information control practices tend to focus on the here and now. They argue that overclassification of national security–related documents undermines democratic self-rule. They inveigh against delays and denials in the implementation of the Freedom of Information Act. They condemn regulations that “incorporate by reference” materials developed by industry groups. They worry about the growing use of black box algorithms, criminal leak investigations, and secret waivers for former lobbyists turned political appointees. All of these critiques raise important issues, even if they sometimes understate the transparency that exists—U.S. administrative agencies “are some of the most extensively monitoredgovernment actors in the world”—or overstate the benefits of sunlight.

One of the executive’s most worrisome information control practices has received relatively little attention, perhaps because it requires taking a longer view. Over the last several decades, as Matthew Connelly explains in a new essay on “State Secrecy, Archival Negligence, and the End of History as We Know It,”[*]our national archives have been quietly falling apart. FOIA backlogs look like a Starbucks queue compared to the 700,000 cubic feet of records at the National Archives and Records Administration’s research facility in Maryland that were unprocessed as of 2013. The Public Interest Declassification Board recently estimated that it would take a year’s work by two million declassifiers to review the amount of data that a single intelligence agency now produces in eighteen months.

The U.S. government’s entire system for organizing, conserving, and revealing the record of its activities, Connelly maintains, is on the verge of collapse; a “digital dark age” awaits us on the other side. His is less a story about excessive information control than a story about the absenceof information control. Archivists simply have not been able to cope with the flood they face. The negative consequences extend far beyond the professional study of history, as Democrats learned last month when NARA announced that it was incapable of reviewing and releasing all of Brett Kavanaugh’s papers before the Senate votes on his nomination to the Supreme Court.

How did this crisis in the archives develop, and what might be done to mitigate it? Woefully inadequate appropriations and “dubious management decisions” bear some of the blame, according to Connelly. When the ratio of spending on the classification and protection of national security secrets to spending on their declassification exceeds 99 to 1, the historical record is bound to suffer. But the deeper cause of the crisis, Connelly suggests, lies in the exponential growth of government records, particularly electronic records. In a world where the State Department generates two billion emails each year—all of which need to be screened for sensitive personal and policy details prior to disclosure through any official process—the traditional tools of archiving cannot possibly keep up.

Maybe the tools ought to be updated for the age of “big data,” then. Connelly has collaborated extensively with data scientists on the problems he highlights, and he argues that sophisticated use of computational methods, from topic modeling to traffic analysis to predictive coding, could go a long way toward rationalizing records management and accelerating declassification. If these techniques were to be combined with bigger budgets for archivists and greater will to curb classification, NARA might one day make good on its aspiration to ensure “continuing access to the essential documentation of the rights of American citizens and the actions of their Government.” There is something intuitively appealing about this vision: Digital technologies got us into this mess, and now they ought to help get us out of it. Connelly’s diagnosis of information overload and political neglect is so stark, however, that one wonders whether any such reforms will prove adequate to the challenge.

Three response pieces recast this challenge in a somewhat different light. The Archivist of the United States, David Ferriero, emphasizes steps NARA is taking to digitize its holdings, enhance public access to them, and enforce government recordkeeping requirements. Ferriero does not dispute that “the country would be well served” by greater funding for the agency he leads, but he suggests that progress is being made even within severe budgetary constraints.

Elizabeth Goitein largely endorses Connelly’s reform proposals but urges that they be pushed further in the area of national security information. Drawing on extensive research and advocacy she has done as co-director of the Brennan Center for Justice’s Liberty and National Security Program, Goitein offers a suite of specific recommendations, from tightening the substantive criteria for classification to requiring federal agencies to spend certain amounts on declassification to subjecting officials who engage in serious overclassification to mandatory penalties.

Finally, Kirsten Weld raises critical questions about Connelly’s characterization of the problem and urges that his reform proposals be pushed much further. Weld points out that the records maintained by NARA represent just a “slice” of U.S. history, albeit an important one, and that the government’s management of that slice has always been bound up with larger political struggles. The true source of the crisis at NARA, Weld submits, is not the rise of electronic records or the politicization of transparency but “the dismantling of the postwar welfare state and the concomitant ascendance of neoliberal governance.” To address the crisis, accordingly, technical fixes are bound to be insufficient. Nothing short of “a sea change in the federal government’s priorities” and “a massive reinvestment in the public sphere” will do.

A crisis in the national archives, all of the authors agree, is a crisis in American democracy. It is certainly not the only one we face, and it may not be the most acute, but preserving a record of our collective history arguably has a kind of epistemic priority. As we fight for our democratic future, these essays remind us to fight for the institutions that help us understand how we arrived at the perilous present.




[*] Connelly’s paper is being published, along with three response pieces, as the sixth installment in a series I am editing for the Knight First Amendment Institute at Columbia University.


          Associate Solutions Engineer at CISCO      Cache   Translate Page      
Cisco - The Internet of Everything is a phenomenon driving new opportunities for Cisco and it's transforming our customers' businesses worldwide. We are pioneers and have been since the early days of connectivity. Today, we are building teams that are expanding our technology solutions in the mobile, cloud, security, IT, and big data spaces, including software and consulting services. As Cisco delivers the network that powers the Internet, we are connecting the unconnected. Imagine creating unprecedented disruption. Your revolutionary ideas will impact everything from retail, healthcare, and entertainment, to public and private sectors, and far beyond. Collaborate with like-minded innovators in a fun and flexible culture that has earned Cisco global recognition as a Great Place To Work. With roughly 10 billion connected things in the world now and over 50 billion estimated in the future, your career has exponential possibilities at Cisco.Job Id: 1243269 Location: Lagos, Nigeria Training Location: Prague, Czech Republic Area of Interest: Sales - Services, Solutions, Customer Success Job Type: New Graduate Start date: 28th July, 2019. What You'll Do You'll be part of our Cisco Sales Associates Program (CSAP), an award-winning graduate training program for young talent aspiring to move into sales or engineering roles. For the first months of the program you'll learn about the latest technology advancements and how to position Cisco's architectures, solutions and products to our customers. During the second part of your CSAP year, you'll move into an engineering role as part of your on-the-job-experience within the Global Virtual Engineering (GVE) Team. You will be actively involved in sales opportunities and assigned to specific projects that align to your skill set. The program, while challenging, will push you to become the best version of yourself. You'll be encouraged to pursue industry-standard certifications and be assessed and coached through customer simulations and on-the-job activities. We'll offer you a safe and fun environment to practice what you've learnt, all the while providing you with feedback to develop your potential. Thanks to this rigourous training plan, we've earned a strong reputation within our internal sales organization. GVE is a multilevel technical presales organization, that provides software and systems engineering services to customers, partners, and internal Cisco sales employees. Upon graduating from the program, you'll be a Virtual Systems Engineer (VSE) where you'll ultimately accelerate your career into a Systems Engineer role and beyond. As a VSE you'll engage with our customers and partners as a trusted technology advisor. You'll work with Account Managers and together you'll position the benefits of our Cisco solutions to your customer, using our market-leading collaboration tools. Who You'll Work With You'll train alongside incredibly talented individuals, like yourself, from different countries and diverse backgrounds. Early on, you'll make long-lasting friendships and belong to a rich human network that will support you through out your career. As a successful Associate Solutions Engineer (ASE), you'll expand your software and networking knowledge to collaborate with Cisco sales professionals and provide technical solutions for our customers and partners. You'll learn from top experts and coaches in a unique classroom setting where we use our own 'state-of-the-art' collaboration technology. You'll have your own mentor, a CSAP alumnus who's been in your shoes and will guide you in your first year. With a strong Cisco team committed to your success, you'll gain hands-on education and experience, while receiving an attractive salary and pursuing your career aspirations. Who You Are Technology enthusiast, who enjoys talking about innovation and always keeps up with the latest technology news. A strong communicator with the confidence to engage and talk to a wide range of people. View team collaboration as instrumental to achieving success. Enjoy looking at practical real life challenges and thinking creatively to solve them. Approach situations with an open and curious mind, taking on challenges with an eye for opportunity. What You Need To Be Eligible Graduate by October 2018. Graduate from a relevant technical degree such as; Computer Science, Computer Engineering, Software Engineering, Electronics Engineering, Telecommunications Engineering, Cyber Security, Information Technology, Mathematics, Physics, Informatics, Data Science or similar. Fluent in English. Hold the right to live and work in the country that you are applying for, without future company sponsorship required. Student visas and temporary permits obtained on your own will not be acceptable. Willing to relocate for 12 months of training to hub. Visa assistance and relocation package to training hub will be provided as required. Willing to return to your country you applied for, unless otherwise required due to business needs. Knowledge and experience in software languages. C, C++, C#, Java or Python are desired. Summary of Job Locations Training location: Prague, Czech Republic for first 12 months Location after training: Lagos, Nigeria
          Containers key for Hortonworks alliance on big data hybrid      Cache   Translate Page      
none
          Report Videosorveglianza 2018: le voci di installatori e utilizzatori finali      Cache   Translate Page      
LONDON (UK) Con i Big Data e innovazioni come l'Intelligenza Artificiale (AI) e l'apprendimento automatico (Machine learning), il panorama della...
          Principal Program Manager - Microsoft - Redmond, WA      Cache   Translate Page      
Job Description: The Azure Big Data Team is looking for a Principal Program Manager to drive Azure and Office Compliance in the Big Data Analytics Services ...
From Microsoft - Sat, 28 Jul 2018 02:13:20 GMT - View all Redmond, WA jobs
          eBusiness & Commerce Analytics and Big Data Strategist - DELL - Round Rock, TX      Cache   Translate Page      
Why Work at Dell? Dell is an equal opportunity employer. Strong presentation, leadership, business influence, and project management skills....
From Dell - Tue, 22 May 2018 11:08:11 GMT - View all Round Rock, TX jobs
          Big Data Principal Architect North America | Remote | Work From Home - Pythian - Job, WV      Cache   Translate Page      
Real-time Hadoop query engines like Dremel, Cloudera Impala, Facebook Presto or Berkley Spark/Shark. Big Data Principal Architect....
From Pythian - Fri, 18 May 2018 21:42:57 GMT - View all Job, WV jobs
          Analytics Architect - GoDaddy - Kirkland, WA      Cache   Translate Page      
Implementation and tuning experience in the big data Ecosystem (Amazon EMR, Hadoop, Spark, R, Presto, Hive), database (Oracle, mysql, postgres, Microsoft SQL...
From GoDaddy - Tue, 07 Aug 2018 03:04:25 GMT - View all Kirkland, WA jobs
          Data Engineer - Protingent - Redmond, WA      Cache   Translate Page      
Experience with Big Data query languages such as Presto, Hive. Protingent has an opportunity for a Data Engineer at our client in Redmond, WA....
From Protingent - Fri, 13 Jul 2018 22:03:34 GMT - View all Redmond, WA jobs
          Sr BI Developer [EXPJP00002633] - Staffing Technologies - Bellevue, WA      Cache   Translate Page      
Experience in AWS technologies such as EC2, Cloud formation, EMR, AWS S3, AWS Analytics required Big data related AWS technologies like HIVE, Presto, Hadoop...
From Staffing Technologies - Tue, 19 Jun 2018 22:23:35 GMT - View all Bellevue, WA jobs
          Jr. Java Developer for Big Data Project - Prodigy Systems - North York, ON      Cache   Translate Page      
Our company is hiring new grads with a Computer Science degree and a passion for technology to work for our financial client. Please only respond if you have...
From Indeed - Wed, 29 Aug 2018 19:11:50 GMT - View all North York, ON jobs
          Principal Data Architect - DBS Customer Advisory - Amazon.com - Seattle, WA      Cache   Translate Page      
Implementation and tuning experience in the Big Data Ecosystem, (EMR, Hadoop, Spark, R, Presto, Hive), Database (Oracle, mysql, postgres, MS SQL Server), NoSQL...
From Amazon.com - Wed, 12 Sep 2018 13:23:03 GMT - View all Seattle, WA jobs
          Senior Software Engineer, Cloud Engineering - ExtraHop Networks, Inc. - Seattle, WA      Cache   Translate Page      
Experience with data science information processing pipeline (Spark / Presto / SQL / Hadoop / HBASE). Big Data, the cloud, elastic computing, SaaS, AWS, BYOD,...
From ExtraHop Networks, Inc. - Tue, 11 Sep 2018 18:44:58 GMT - View all Seattle, WA jobs
          Senior Big Data Engineer - Nordstrom - Seattle, WA      Cache   Translate Page      
Experience building data transformation layers, ETL frameworks using big data technologies such as Hive, Spark, Presto etc....
From Nordstrom - Tue, 11 Sep 2018 00:10:01 GMT - View all Seattle, WA jobs
          Big Data Engineering Manager - Economic Data - Zillow Group - Seattle, WA      Cache   Translate Page      
Experience with the Big Data ecosystem (Spark, Hive, Hadoop, Presto, Airflow). About the team....
From Zillow Group - Sat, 08 Sep 2018 01:05:50 GMT - View all Seattle, WA jobs
          Principal Data Labs Solution Architect - Amazon.com - Seattle, WA      Cache   Translate Page      
Implementation and tuning experience in the Big Data Ecosystem, (such as EMR, Hadoop, Spark, R, Presto, Hive), Database (such as Oracle, MySQL, PostgreSQL, MS...
From Amazon.com - Fri, 07 Sep 2018 19:22:14 GMT - View all Seattle, WA jobs
          Software Development Engineer, Big Data - Zillow Group - Seattle, WA      Cache   Translate Page      
Experience with Hive, Spark, Presto, Airflow and or Python a plus. About the team....
From Zillow Group - Fri, 07 Sep 2018 01:05:52 GMT - View all Seattle, WA jobs
          Unlock petabyte-scale datasets in Azure with aggregations in Power BI | Azure Friday      Cache   Translate Page      

Christian Wade joins Scott Hanselman to show you how to unlock petabyte-scale datasets in Azure with a way that was not previously possible. Learn how to use the aggregations feature in Power BI to enable interactive analysis over big data.

For more information:


          (USA-CA-San Francisco) Regulatory Analytics & Research Data Scientist      Cache   Translate Page      
**Company** Based in San Francisco, Pacific Gas and Electric Company, a subsidiary of PG&E Corporation (NYSE:PCG), is one of the largest combined natural gas and electric utilities in the United States. And we deliver some of the nation's cleanest energy to our customers in Northern and Central California. For PG&E, **Together, Building a Better California** is not just a slogan. It's the very core of our mission and the scale by which we measure our success. We know that the nearly 16 million people who do business with our company count on our more than 24,000 employees for far more than the delivery of utility services. They, along with every citizen of the state we call home, also expect PG&E to help improve their quality of life, the economic vitality of their communities, and the prospect for a better future fueled by clean, safe, reliable and affordable energy. Pacific Gas and Electric Company is an Affirmative Action and Equal Employment Opportunity employer that actively pursues and hires a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, age, religion, physical or mental disability status, medical condition, protected veteran status, marital status, pregnancy, sexual orientation, gender, gender identity, gender expression, genetic information or any other factor that is not related to the job. **Department Overview** The Regulatory Analytics and Research department are regulatory professionals who support the operating lines of business by providing regulatory expertise; managing the development, approval and implementation of regulatory filings, rates and tariffs and advocating the business needs to our regulators **Position Summary** The Data Scientist prepares technical content in support of regulatory proceedings and rate cases that involves conducting research, developing data analytics, assisting witnesses and supporting case management process. The Data Scientist designs, builds and maintains data ingestion pipelines, data access solutions/ databases, complex analytics and reports/ visualization to generate actionable insights for revenue requirements, sales forecast and research, cost of service and rate making (electric and gas pricing). The Data Scientist will report to the Senior Manager of Regulatory Analytics & Research. **Job Responsibilities** + Design and build data ingestion pipelines required for optimal extraction, transformation, and loading of data from a wide variety of data sources. + Design and build large and complex datasets that meet functional and non-functional business requirements. + Optimize data storage and query performance; ensure data integrity, cleanliness, and availability; and document data sources, methodologies and test plans/ results. + Build analytics, visualization and dashboards to provide actionable insights and key business metrics. + Identify, design, and implement process improvements by automating and integrating manual processes for greater efficiency and scalability. + Collaborate with stakeholders across organizations to support their data analytics needs. + Support IT with product evaluation and benchmarking for future infrastructure needs and projects. **Qualifications** Minimum: + Bachelor’s degree in Computer Science, Engineering or related field, + Two years of applied data engineering and analytics experience Desired Qualifications + Experience in SQL (Teradata) to extract, store and analyze large datasets. + Experience using data visualization/BI tools such as Tableau + Hands-on programming in Python using big data technologies- AWS (EC2), Hadoop (Hive) and Spark. + Experience implementing data science functions in R and Python. + Familiarity in Base SAS, SAS Grid and SAS Enterprise Guide. + Familiarity in load research and forecast functions and regulatory rate making. + Familiarity in Oracle Utilities Customer Care and Billing, SAP/BW and Salesforce.
          Humanities and Arts in the Age of Big Data Conference | A University of Illinois Sesquicentenary Event - University of Illinois at Urbana-Champaign      Cache   Translate Page      
publish.illinois.edu
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@kfitz: Really looking forward to this! twitter.com/Ted_Underwood/…
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@trevormunoz: I am flattered and delighted to be included in this program! Looking forward to being part of the conversations. twitter.com/Ted_Underwood/…
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          Developer, Integration - Mosaic North America - Jacksonville, FL      Cache   Translate Page      
Overview Design and deliver Microsoft Azure Platform solutions and application programming interfaces (APIs) in a big data context with Enterprise level...
From Mosaic North America - Fri, 15 Jun 2018 20:27:37 GMT - View all Jacksonville, FL jobs
          さすが (流石) (sasuga)      Cache   Translate Page      
さすが (流石) (sasuga)

    Meaning: as expected, after all
    Example: he won. After all, he is a fast runner

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  • seems to usually be used for positive things. you would not say "he cheated. after all, he is a lawyer.." (contributor: dc)
  • ex4131 一日の長 ichijitsu no chou 〔論語 Analects〕: 経験・技能・知識などに若干すぐれていること。 (contributor: Miki)
  • さすが = さすがに 流石 sasuga (contributor: Miki)
  • This might be a good example of how to use さすが in a more casual way.

    Last time I went to karaoke I went with a bunch of bandmen, and after a vocalist of a certain band blew us all away, everyone said at the same time「さすがにプロだね!!」 (contributor: マリ)
  • Mikiさん、例文[#4132]には何か間違っている、あるいは不足しているみたいな気がしているけど再調査をお願いします。 (contributor: ppmohapatra)

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          AWS Architect - Insight Enterprises, Inc. - Chicago, IL      Cache   Translate Page      
Database architecture, Big Data, Machine Learning, Business Intelligence, Advanced Analytics, Data Mining, ETL. Internal teammate application guidelines:....
From Insight - Thu, 12 Jul 2018 01:56:10 GMT - View all Chicago, IL jobs
          Riding on Exponentials: Big Data, Predictive Analytics, Urban Informatics : Interview with Dr. Steven Koonin      Cache   Translate Page      
It is not a bigger government we need, but a smarter government that sets priorities. President Barack Obama, State of the Union Address, February 12, 2013 In this interview with Steve Koonin, Director of NYU's Center for Urban Science and...
          Big Data Market Segment by Regions and Industry Analysis by Players till 2025      Cache   Translate Page      
(EMAILWIRE.COM, September 14, 2018 ) The Global Big Data Market was valued at USD 28.95 billion in 2016 and is projected to reach USD 135.22 billion by 2025, growing at a CAGR of 18.68% from 2017 to 2025. With growing technology, incorporation of new technology to enhance the services is required....
          Hadoop Developer      Cache   Translate Page      
RI-Smithfield, job summary: The expertise we're looking for • Bachelor's degree or higher in a technology related field (e.g. Engineering, Computer Science, etc.) required, Master's degree a plus • 8+ years of hands-on experience in architecting, designing and developing highly scalable distributed data processing systems • 5+ years of hands-on experience in implementing batch and real-time Big Data integr
          Introduction to Scala      Cache   Translate Page      

Introduction to Scala
Introduction to Scala
MP4 | Video: AVC 1280x720 | Audio: AAC 48KHz 2ch | Duration: 1.5 Hours | 181 MB
Genre: eLearning | Language: English

The name Scala derives from a combination of the words "scalable" and "language". Scala is a functional programming language, which runs on top of the Java virtual machine and can use any Java class. Scala is well suited for distributed programming and big data.


          The Vital Signs of Your Practice: Choose and Use the Right KPIs      Cache   Translate Page      
By Jason Flahive In the age of big data, it is possible to measure anything and everything, ranging from the number of patients per day to the amount of time spent on phone calls. So, what should your medical practice measure? Pick your data points While measurements and potential improvements are limited only by your imagination, it is easy to fall prey to information overload. Pick your data points carefully. Here are some common, practice-related key performance indicators
          Introduction to Scala      Cache   Translate Page      

Introduction to Scala
Introduction to Scala
MP4 | Video: AVC 1280x720 | Audio: AAC 48KHz 2ch | Duration: 1.5 Hours | 181 MB
Genre: eLearning | Language: English

The name Scala derives from a combination of the words "scalable" and "language". Scala is a functional programming language, which runs on top of the Java virtual machine and can use any Java class. Scala is well suited for distributed programming and big data.


          Big Data Consultant - Accenture - Montréal, QC      Cache   Translate Page      
Choose Accenture, and make delivering innovative work part of your extraordinary career. Join Accenture and help transform leading organizations and communities...
From Accenture - Tue, 11 Sep 2018 05:50:55 GMT - View all Montréal, QC jobs


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