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Learning Hadoop 2

You're reading from   Learning Hadoop 2 Design and implement data processing, lifecycle management, and analytic workflows with the cutting-edge toolbox of Hadoop 2

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Product type Paperback
Published in Feb 2015
Publisher Packt
ISBN-13 9781783285518
Length 382 pages
Edition 1st Edition
Tools
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Author (1):
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GABRIELE MODENA GABRIELE MODENA
Author Profile Icon GABRIELE MODENA
GABRIELE MODENA
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Table of Contents (18) Chapters Close

Learning Hadoop 2
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Introduction FREE CHAPTER 2. Storage 3. Processing – MapReduce and Beyond 4. Real-time Computation with Samza 5. Iterative Computation with Spark 6. Data Analysis with Apache Pig 7. Hadoop and SQL 8. Data Lifecycle Management 9. Making Development Easier 10. Running a Hadoop Cluster 11. Where to Go Next Index

Alternative distributions


We've generally used the Cloudera distribution for Hadoop in this book, but have attempted to keep the coverage distribution independent as much as possible. We've also mentioned the Hortonworks Data Platform (HDP) throughout this book but these are certainly not the only distribution choices available to you.

Before taking a look around, let's consider whether you need a distribution at all. It is completely possible to go to the Apache website, download the source tarballs of the projects in which you are interested, then work to build them all together. However, given version dependencies, this is likely to consume more time than you would expect. Potentially, vastly more so. In addition, the end product will likely lack some polish in terms of tools or scripts for operational deployment and management. For most users, these areas are why employing an existing Hadoop distribution is the natural choice.

A note on free and commercial extensions—being an open source...

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