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Why Open Table Format Architecture is Essential for Modern Data Systems

phData: Data Engineering

It enables analysts and data engineers to “go back in time” and investigate how data looked at specific points, a critical feature for industries with stringent audit requirements, such as finance, healthcare, and e-commerce. They also support ACID transactions, ensuring data integrity and stored data reliability.

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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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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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Hadoop Ecosystem Components and Its Architecture

ProjectPro

All the components of the Hadoop ecosystem, as explicit entities are evident. All the components of the Hadoop ecosystem, as explicit entities are evident. The holistic view of Hadoop architecture gives prominence to Hadoop common, Hadoop YARN, Hadoop Distributed File Systems (HDFS ) and Hadoop MapReduce of the Hadoop Ecosystem.

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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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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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