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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

2. Storage FREE CHAPTER

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

Who this book is for

This book is primarily aimed at application and system developers interested in learning how to solve practical problems using the Hadoop framework and related components. Although we show examples in a few programming languages, a strong foundation in Java is the main prerequisite.

Data engineers and architects might also find the material concerning data life cycle, file formats, and computational models useful.

The rest of the chapter is locked

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