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Recap of Hadoop News for May 2017

ProjectPro

News on Hadoop - May 2017 High-end backup kid Datos IO embraces relational, Hadoop data.theregister.co.uk , May 3 , 2017. Datos IO has extended its on-premise and public cloud data protection to RDBMS and Hadoop distributions. now provides hadoop support. Hadoop moving into the cloud. Forrester.com, May 4, 2017.

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Recap of Hadoop News for November 2017

ProjectPro

News on Hadoop - November 2017 IBM leads BigInsights for Hadoop out behind barn. IBM’s BigInsights for Hadoop sunset on December 6, 2017. IBM plans to integrate HDP into its data science and machine learning platforms and then migrate all its BigInsights users to HDP. The report values global hadoop market at 1266.24

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Data Scientist Salary in India: Based on Location, Company, Experience

Knowledge Hut

Data scientists are very knowledgeable in math and statistics, and they also have a strong grasp of ideas such as big data, machine learning, data mining, deep learning, and data warehouses, among others. Enroll immediately to learn data science and enter the fascinating world of data.

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Google Data Scientist Interview Questions To Get You Hired

ProjectPro

Google-tech Professional Services: You will work on technical optimizations to assist the clients in achieving their business objectives. Can you explain the Hadoop architecture? You will work with different teams to provide data-driven business-impact suggestions. What are the Big Data frameworks and platforms you are aware of?

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Data Scientist Salary-The Ultimate Guide for 2023

ProjectPro

According to LinkedIn, the top 5 industries for data scientists in the US are Consumer Goods, Transportation, Recreation, IT Services, and Real Estate. These companies are looking to hire the brightest professionals with expertise in Math, Statistics, SQL, Hadoop, Java, Python, and R skills for their own data science teams.

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Recap of Hadoop News for March 2017

ProjectPro

News on Hadoop-March 2017 The cloud is disrupting Hadoop. Zdnet.com, March 6, 2017 Forrester estimates that organizations will spend $800 million in hadoop and its related services in 2017. Just like Hadoop is not designed for the cloud, it is not meant for doing matrix math that deep learning requires.

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