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You're reading from  Hadoop 2.x Administration Cookbook

Product typeBook
Published inMay 2017
PublisherPackt
ISBN-139781787126732
Edition1st Edition
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Author (1)
Aman Singh
Aman Singh
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Aman Singh

Gurmukh Singh is a seasoned technology professional with 14+ years of industry experience in infrastructure design, distributed systems, performance optimization, and networks. He has worked in big data domain for the last 5 years and provides consultancy and training on various technologies. He has worked with companies such as HP, JP Morgan, and Yahoo. He has authored Monitoring Hadoop by Packt Publishing
Read more about Aman Singh

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Introduction


In the previous chapters, we learned about the storage layer HDFS, how to configure it, and what are its different components. We mainly talked about Namenode, Datanode, and its concepts.

In this chapter, we will take a look at the processing layer which is MapReduce and the resource management framework YARN. Prior to Hadoop 2.x, MapReduce was the only processing layer for Hadoop, but the introduction of YARN as a framework, provided a pluggable processing layer, which could be MapReduce, Spark, and so on.

Note

While the recipes in this chapter will give you an overview of a typical configuration, we encourage you to adapt this proposal according to your needs. The deployment directory structure varies according to IT policies within an organization.

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Hadoop 2.x Administration Cookbook
Published in: May 2017Publisher: PacktISBN-13: 9781787126732

Author (1)

author image
Aman Singh

Gurmukh Singh is a seasoned technology professional with 14+ years of industry experience in infrastructure design, distributed systems, performance optimization, and networks. He has worked in big data domain for the last 5 years and provides consultancy and training on various technologies. He has worked with companies such as HP, JP Morgan, and Yahoo. He has authored Monitoring Hadoop by Packt Publishing
Read more about Aman Singh