[Hadoop Wiki] Update of "Books" by SteveLoughran

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The "Books" page has been changed by SteveLoughran:
https://wiki.apache.org/hadoop/Books?action=diff&rev1=12&rev2=13

Comment:
Add Hadoop Ops and updated Hadoop Definitive guide to the book list

  
  
  {{{#!wiki comment/dotted
- Attention people adding new entries. 
+ Attention people adding new entries.
  # Please include publishing date and version of Hadoop the book is relevant to.
  # Please write this in a neutral voice, not "this book will help you", as that implies that the ASF has
  opinions on the matter. Someone will just edit the claims out.
@@ -50, +50 @@

  
  '''Sample Chapter:''' [[http://www.packtpub.com/sites/default/files/9781849517300_Chapter_04.pdf|Chapter 4: Developing MapReduce Programs]]
  
- Written for complete beginners to Hadoop, covers how to install and run Hadoop on a local Ubuntu host or create an on-demand Hadoop cluster on Amazon Web Services (EC2), before getting to grips with !MapReduce. 
+ Written for complete beginners to Hadoop, covers how to install and run Hadoop on a local Ubuntu host or create an on-demand Hadoop cluster on Amazon Web Services (EC2), before getting to grips with !MapReduce.
  
  === Hadoop Real World Solutions Cookbook ===
  
@@ -66, +66 @@

  
  '''Sample Chapter:''' [[http://www.packtpub.com/sites/default/files/9781849519120_Chapter_06.pdf|Chapter 6: Big Data Analysis]]
  
- Collection of real world code analytics and design patterns using various tools from the Hadoop community. Each recipe walks the reader through the implementation, or in some cases debugging and configuration tuning. The book covers various tools including !MapReduce, Hive, Pig, MRUnit, serialization using Avro/Thrift/ProtoBuffs, Giraph, Accumulo and several others. 
+ Collection of real world code analytics and design patterns using various tools from the Hadoop community. Each recipe walks the reader through the implementation, or in some cases debugging and configuration tuning. The book covers various tools including !MapReduce, Hive, Pig, MRUnit, serialization using Avro/Thrift/ProtoBuffs, Giraph, Accumulo and several others.
  
  
  === Hadoop MapReduce Cookbook ===
@@ -85, +85 @@

  
  Hadoop !MapReduce Cookbook is a one-stop guide to processing large and complex data sets using the Hadoop ecosystem. The book introduces simple examples and then dives deep to solve in-depth big data use cases.
  
+ == Hadoop Operations ==
+ 
+ '''Name:''' [[http://shop.oreilly.com/product/0636920025085.do|Hadoop Operations]]
+ 
+ '''Author:'''  Eric Sammers
+ 
+ '''Hadoop Version:''' 1.x, CDH3.x
+ 
+ '''Publisher:''' O'Reilly Press
+ 
+ '''Date of Publishing:''' September 2012.
+ 
+ 
  
  == Hadoop in Practice ==
  
@@ -96, +109 @@

  
  '''Publisher:''' Manning
  
- '''Date of Publishing:''' Fall 2012. 
+ '''Date of Publishing:''' Fall 2012.
  
  '''Sample Chapter:''' [[http://www.manning.com/holmes/HiPmeap_ch01.pdf|Chapter 1]]
  
+ 
+ === Hadoop: The Definitive Guide, 3rd Edition ===
+ 
+ '''Name:''' [[http://shop.oreilly.com/product/0636920021773.do|Hadoop: The Definitive Guide, 3rd Edition]]
+ 
+ '''Author:''' Tom White
+ 
+ '''Hadoop Version:''' 1.x
+ 
+ '''Publisher:''' O'Reilly
+ 
+ '''Date of Publishing:''' May 2012
+ 
+ 
+ '''Sample Chapter:''' [[http://cdn.oreilly.com/oreilly/booksamplers/9781449311520_sampler.pdf|Sample Chapter]]
  
  === Hadoop in Action ===