Book Image

Hadoop 2.x Administration Cookbook

By : Aman Singh
Book Image

Hadoop 2.x Administration Cookbook

By: Aman Singh

Overview of this book

Hadoop enables the distributed storage and processing of large datasets across clusters of computers. Learning how to administer Hadoop is crucial to exploit its unique features. With this book, you will be able to overcome common problems encountered in Hadoop administration. The book begins with laying the foundation by showing you the steps needed to set up a Hadoop cluster and its various nodes. You will get a better understanding of how to maintain Hadoop cluster, especially on the HDFS layer and using YARN and MapReduce. Further on, you will explore durability and high availability of a Hadoop cluster. You’ll get a better understanding of the schedulers in Hadoop and how to configure and use them for your tasks. You will also get hands-on experience with the backup and recovery options and the performance tuning aspects of Hadoop. Finally, you will get a better understanding of troubleshooting, diagnostics, and best practices in Hadoop administration. By the end of this book, you will have a proper understanding of working with Hadoop clusters and will also be able to secure, encrypt it, and configure auditing for your Hadoop clusters.
Table of Contents (20 chapters)
Hadoop 2.x Administration Cookbook
About the Author
About the Reviewers
Customer Feedback

Chapter 1. Hadoop Architecture and Deployment

In this chapter, we will cover the following recipes:

  • Overview of Hadoop Architecture

  • Building and compiling Hadoop

  • Installation methods

  • Setting up host resolution

  • Installing a single-node cluster - HDFS components

  • Installing a single-node cluster - YARN components

  • Installing a multi-node cluster

  • Configuring Hadoop Gateway node

  • Decommissioning nodes

  • Adding nodes to the cluster