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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

Summary

In this chapter, we have gone through different activities performed by Hadoop administrators for monitoring and optimizing the Hadoop cluster. We looked at the roles and responsibilities of an administrator, followed by cluster planning. We did a deep dive into key management aspects of the hadoop cluster, such as resource management through job scheduling with algorithms such as Fair Scheduler and Capacity Scheduler. We also looked at ensuring high availability and security for the Apache hadoop cluster. This was followed by the day-to-day activities of Hadoop administrators, covering adding new nodes, archiving, hadoop Metric, and so on.

In the next chapter, we will look at Hadoop ecosystem components, which help the business develop big data applications rapidly.

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