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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

Chapter 1. Introduction

This book will teach you how to build amazing systems using the latest release of Hadoop. Before you change the world though, we need to do some groundwork, which is where this chapter comes in.

In this introductory chapter, we will cover the following topics:

A brief refresher on the background to Hadoop
A walk-through of Hadoop's evolution
The key elements in Hadoop 2
The Hadoop distributions we'll use in this book
The dataset we'll use for examples

The rest of the chapter is locked

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