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Hadoop 2.x Administration Cookbook

You're reading from Hadoop 2.x Administration Cookbook Administer and maintain large Apache Hadoop clusters

Product type Paperback

Published in May 2017

Publisher Packt

ISBN-13 9781787126732

Length 348 pages

Edition 1st Edition

Tools

Hadoop

Concepts

System Administration

Author (1):

Aman Singh

View More author details

Table of Contents (14) Chapters

Preface

1. Hadoop Architecture and Deployment FREE CHAPTER

2. Maintaining Hadoop Cluster HDFS

3. Maintaining Hadoop Cluster – YARN and MapReduce

4. High Availability

5. Schedulers

6. Backup and Recovery

7. Data Ingestion and Workflow

8. Performance Tuning

9. HBase Administration

10. Cluster Planning

11. Troubleshooting, Diagnostics, and Best Practices

12. Security

Index

Introduction

In this chapter, we will configure high availability for Namenode and Resourcemanager, as both of them are single points of failure. We will also walk through the various options of configuring high availability, cache configuration, storage policies, and snapshots for backup.

Note

In this chapter, HA is from the Hadoop perspective only and there is no HA at Linux level. The Hadoop cluster is not the same as the Linux cluster. If users are finding it difficult to write scripts or configurations, all these are available at my GitHub: https://github.com/netxillon/hadoop.

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Authors (1)

Aman Singh

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

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