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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

Product type Paperback

Published in Feb 2015

Publisher Packt

ISBN-13 9781783285518

Length 382 pages

Edition 1st Edition

Tools

Hadoop

Concepts

Data Processing

Table of Contents (13) Chapters

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

What you need for this book

Because most people don't have a large number of spare machines sitting around, we use the Cloudera QuickStart virtual machine for most of the examples in this book. This is a single machine image with all the components of a full Hadoop cluster pre-installed. It can be run on any host machine supporting either the VMware or the VirtualBox virtualization technology.

We also explore Amazon Web Services and how some of the Hadoop technologies can be run on the AWS Elastic MapReduce service. The AWS services can be managed through a web browser or a Linux command-line interface.

The rest of the chapter is locked

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