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Apache Hadoop 3 Quick Start Guide

You're reading from   Apache Hadoop 3 Quick Start Guide Learn about big data processing and analytics

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781788999830
Length 220 pages
Edition 1st Edition
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Author (1):
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Hrishikesh Vijay Karambelkar Hrishikesh Vijay Karambelkar
Author Profile Icon Hrishikesh Vijay Karambelkar
Hrishikesh Vijay Karambelkar
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Table of Contents (10) Chapters Close

Preface 1. Hadoop 3.0 - Background and Introduction 2. Planning and Setting Up Hadoop Clusters FREE CHAPTER 3. Deep Dive into the Hadoop Distributed File System 4. Developing MapReduce Applications 5. Building Rich YARN Applications 6. Monitoring and Administration of a Hadoop Cluster 7. Demystifying Hadoop Ecosystem Components 8. Advanced Topics in Apache Hadoop 9. Other Books You May Enjoy

Summary

In this chapter, we have done a deep dive into YARN. We understood YARN architecture and key features of YARN such as resource models, federation, and RESTful APIs. We then configured a YARN environment in a Hadoop distributed cluster. We also studied some of the additional properties of yarn-site.xml. We then looked at the YARN distributed command-line interface. After this, we dived deep into building a YARN application, where we first created a framework needed for the application to run, then we created a sample application. We also covered building YARN applications and monitoring them.

In the next chapter, we will look at monitoring and administration of a Hadoop cluster.

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