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Hadoop – The Definitive Guide 2nd Edition, Tom White, O’Reilly, 2011

Programmers who need to process large datasets will want to read this book.
Contents:

  • Chapter 1 Meet Hadoop
  • Chapter 2 MapReduce
  • Chapter 3 The Hadoop Distributed Filesystem
  • Chapter 4 Hadoop I/O
  • Chapter 5 Developing a MapReduce Application
  • Chapter 6 How MapReduce Works
  • Chapter 7 MapReduce Types and Formats
  • Chapter 8 MapReduce Features
  • Chapter 9 Setting Up a Hadoop Cluster
  • Chapter 10 Administering Hadoop
  • Chapter 11 Pig
  • Chapter 12 Hive
  • Chapter 13 HBase
  • Chapter 14 ZooKeeper
  • Chapter 15 Sqoop
  • Chapter 16 Case Studies

Appendix Installing Apache Hadoop
Appendix Cloudera’s Distribution for Hadoop
Appendix Preparing the NCDC Weather Data

Legendary O’Reilly quality. 550 pages.

Get it here at OPL     Amazon Review

Carleton Library     University of Ottawa

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