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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

Index

A

additional data, collecting
- about / Collecting additional data
- workflows, scheduling / Scheduling workflows
- Oozie triggers / Other Oozie triggers
addMapper method, arguments
- job / Text cleanup using chain mapper
- class / Text cleanup using chain mapper
- inputKeyClass / Text cleanup using chain mapper
- inputValueClass / Text cleanup using chain mapper
- outputKeyClass / Text cleanup using chain mapper
- outputValueClass / Text cleanup using chain mapper
- mapperConf / Text cleanup using chain mapper
alternative distributions
- about / Alternative distributions
- Cloudera Distribution / Cloudera Distribution for Hadoop
- Hortonworks Data Platform (HDP) / Hortonworks Data Platform
- MapR / MapR
- selecting / Choosing a distribution
Amazon account
- reference link / Creating an AWS account
Amazon CLI
- reference link / The AWS command-line interface
Amazon EMR
- about / Amazon EMR
- AWS account, creating / Creating an AWS account
- required services, signing up ...

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