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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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Toc

Table of Contents (13) Chapters Close

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

Preface

This book will take you on a hands-on exploration of the wonderful world that is Hadoop 2 and its rapidly growing ecosystem. Building on the solid foundation from the earlier versions of the platform, Hadoop 2 allows multiple data processing frameworks to be executed on a single Hadoop cluster.

To give an understanding of this significant evolution, we will explore both how these new models work and also show their applications in processing large data volumes with batch, iterative, and near-real-time algorithms.

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