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Recap of Hadoop News for December 2017

ProjectPro

News on Hadoop - December 2017 Apache Impala gets top-level status as open source Hadoop tool.TechTarget.com, December 1, 2017. The main objective of Impala is to provide SQL-like interactivity to big data analytics just like other big data tools - Hive, Spark SQL, Drill, HAWQ , Presto and others.

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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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Recap of Hadoop News for April 2018

ProjectPro

News on Hadoop - April 2018 Big Data and Cambridge Analytica: 5 Big Picture Truths.Datamation.com, April 2, 2018. Bn Big Data in Healthcare Market, 2025.PRNewsWire.com, The global big data in healthcare amounted to $11.45 billion in 2017. billion in 2017. Source : [link] $11.45

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5 Apache Spark Best Practices

Data Science Blog: Data Engineering

Already familiar with the term big data, right? Despite the fact that we would all discuss Big Data, it takes a very long time before you confront it in your career. Apache Spark is a Big Data tool that aims to handle large datasets in a parallel and distributed manner.

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Hadoop Jobs Salary Trends in India

ProjectPro

This blog post gives an overview on the big data analytics job market growth in India which will help the readers understand the current trends in big data and hadoop jobs and the big salaries companies are willing to shell out to hire expert Hadoop developers. Don’t believe us?

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Data Engineer Learning Path, Career Track & Roadmap for 2023

ProjectPro

ProjectPro has precisely that in this section, but before presenting it, we would like to answer a few common questions to strengthen your inclination towards data engineering further. What is Data Engineering? Data Engineering refers to creating practical designs for systems that can extract, keep, and inspect data at a large scale.