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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

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781787126732
Length 348 pages
Edition 1st Edition
Tools
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Author (1):
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Aman Singh Aman Singh
Author Profile Icon Aman Singh
Aman Singh
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Table of Contents (14) Chapters Close

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

What you need for this book

To go through the recipes in this book, users need any Linux distribution, which could be Ubuntu, Centos, or any other flavor, as long as it supports running JVM. We use Centos in our recipe, as it is the most commonly used operating system for Hadoop clusters.

Hadoop runs on both virtualized and physical servers, so it is recommended to have at least 8 GB for the base system, on which about three virtual hosts can be set up. Users do not need to set up all the recipes covered in this book all at once; they can run only those daemons that are necessary for that particular recipe. This way, they can keep the resource requirements to the bare minimum. It is good to have at least four hosts to practice all the recipes in this book. These hosts could be virtual or physical.

In terms of software, users need JDK 1.7 minimum, and any SSH client, such as PuTTY in Windows or Terminal, to connect to the Hadoop nodes.

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