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Recap of Hadoop News for January 2018

ProjectPro

News on Hadoop - Janaury 2018 Apache Hadoop 3.0 The latest update to the 11 year old big data framework Hadoop 3.0 The latest update to the 11 year old big data framework Hadoop 3.0 This new feature of YARN federation in Hadoop 3.0 This new feature of YARN federation in Hadoop 3.0

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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 will not provide any further new instances for the basic plan of its data analytics platform. The report values global hadoop market at 1266.24 Source: theregister.co.uk/2017/11/08/ibm_retires_biginsights_for_hadoop/

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Fundamentals of Apache Spark

Knowledge Hut

Before getting into Big data, you must have minimum knowledge on: Anyone of the programming languages >> Core Python or Scala. Spark installations can be done on any platform but its framework is similar to Hadoop and hence having knowledge of HDFS and YARN is highly recommended. Basic knowledge of SQL. Yarn etc) Or, 2.

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Industry Interview Series-How IoT leverages Hadoop?

ProjectPro

In view of the above we have launched Industry Interview Series – where every month we interview someone from the industry to speak on Big Data Hadoop use cases. Table of Contents How IoT leverages Hadoop? Image Credit: aventurine.com The Internet of Things (IoT) is an emerging trend in big data market.

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Top Hadoop Projects and Spark Projects for Beginners 2021

ProjectPro

Big data has taken over many aspects of our lives and as it continues to grow and expand, big data is creating the need for better and faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis. Data Migration 2.

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Hadoop Use Cases

ProjectPro

Hadoop is beginning to live up to its promise of being the backbone technology for Big Data storage and analytics. Companies across the globe have started to migrate their data into Hadoop to join the stalwarts who already adopted Hadoop a while ago. All Data is not Big Data and might not require a Hadoop solution.

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Sqoop vs. Flume Battle of the Hadoop ETL tools

ProjectPro

Apache Hadoop is synonymous with big data for its cost-effectiveness and its attribute of scalability for processing petabytes of data. Data analysis using hadoop is just half the battle won. Getting data into the Hadoop cluster plays a critical role in any big data deployment.