Book Image

Hadoop Operations and Cluster Management Cookbook

By : Shumin Guo
Book Image

Hadoop Operations and Cluster Management Cookbook

By: Shumin Guo

Overview of this book

<p>We are facing an avalanche of data. The unstructured data we gather can contain many insights that could hold the key to business success or failure. Harnessing the ability to analyze and process this data with Hadoop is one of the most highly sought after skills in today's job market. Hadoop, by combining the computing and storage powers of a large number of commodity machines, solves this problem in an elegant way!</p> <p>Hadoop Operations and Cluster Management Cookbook is a practical and hands-on guide for designing and managing a Hadoop cluster. It will help you understand how Hadoop works and guide you through cluster management tasks.</p> <p>This book explains real-world, big data problems and the features of Hadoop that enables it to handle such problems. It breaks down the mystery of a Hadoop cluster and will guide you through a number of clear, practical recipes that will help you to manage a Hadoop cluster.</p> <p>We will start by installing and configuring a Hadoop cluster, while explaining hardware selection and networking considerations. We will also cover the topic of securing a Hadoop cluster with Kerberos, configuring cluster high availability and monitoring a cluster. And if you want to know how to build a Hadoop cluster on the Amazon EC2 cloud, then this is a book for you.</p>
Table of Contents (15 chapters)
Hadoop Operations and Cluster Management Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Choosing a Hadoop version


As an open source project, Hadoop has been under active development over the past few years. New versions are being released regularly. These new releases either fix bugs contributed by the community, leading to a more stable Hadoop software stack, or add new features for the purpose of more full-fledged and enterprise-level distribution.

In this section, we are going to review the history of releases of Hadoop, pointing out features of these releases. More importantly, we will give tips on choosing a proper Hadoop distribution.

Getting ready

In general, the release version number of a Hadoop distribution consists of three parts: the version number, the major revision number, and the minor revision number.

Note

Sometimes the revision number can have a fourth part, for example, 0.20.203.0, but this is relatively rare.

A Hadoop release name can be described with the following figure:

How to do it...

The following table shows features of major Hadoop releases:

Feature\Version...