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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

Setting up Hadoop in cluster mode

In this section, we will focus on setting up a cluster of Hadoop. We will also go over other important aspects of a Hadoop cluster, such as sizing guidelines, setup instructions, and so on. A Hadoop cluster can be set up with Apache Ambari, which offers a much simpler, semi-automated, and error-prone configuration of a cluster. However, the latest version of Ambari at the time of writing supports older Hadoop versions. To set up Hadoop 3.1, we must do so manually. By the time this book is out, you may be able to use a much simpler installation process. You can read about older Hadoop installations in the Ambari installation guide, available here.

Before you set up a Hadoop cluster, it would be good to check the sizing of a cluster so that you can plan better, and avoid reinstallation due to incorrectly estimated cluster size. Please refer to the...
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