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Hadoop Essentials

You're reading from  Hadoop Essentials

Product type Book
Published in Apr 2015
Publisher Packt
ISBN-13 9781784396688
Pages 194 pages
Edition 1st Edition
Languages
Author (1):
Shiva Achari Shiva Achari
Profile icon Shiva Achari

Table of Contents (15) Chapters

Hadoop Essentials
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
Introduction to Big Data and Hadoop Hadoop Ecosystem Pillars of Hadoop – HDFS, MapReduce, and YARN Data Access Components – Hive and Pig Storage Component – HBase Data Ingestion in Hadoop – Sqoop and Flume Streaming and Real-time Analysis – Storm and Spark Index

Service programming


Programming in a distributed environment is complex and care has to be taken, otherwise it can become inefficient. To develop properly distributed applications in Hadoop, we have some service programming tools which provide utilities that take care of the distribution and resource management aspect. The tools that we will be discussing are as follows:

  • Apache YARN

  • Apache Zookeeper

Apache YARN

Yet another Resource Negotiator (YARN) has been a revolution in the major release of Hadoop 2.x version. YARN provides resource management and should be utilized as a common platform for integrating different tools and utilities in a Hadoop cluster and managing them. YARN is a resource manager that was created by separating the processing engine and resource management capabilities of MapReduce. It also provides the platform for processing frameworks other than MapReduce such as, Storm, Spark, and so on. YARN has built-in support for multi-tenancy to share cluster resource. YARN is responsible...

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