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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 FREE CHAPTER 2. Planning and Setting Up Hadoop Clusters 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

Key features of YARN

YARN offers significant gain over traditional MapReduce programming that comes from older versions of Apache Hadoop. With YARN, you can write any custom applications that can utilize the power of commodity hardware and Apache Hadoop's HDFS filesystem to scale and perform. Let's go through some of the key features of YARN that brings major additions. We have already covered the new features of YARN 3.0, such as the intra-disk balancer in Chapter 1, Hadoop 3.0 - Background and Introduction.

Resource models in YARN

YARN supports an extensible resource model. This means that the definition of resources can be extended from its default values (such as CPU and memory) to any types of resources that...

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