White, Tom. <br/><br/>
Hadoop :    the definitive guide /  
Tom White ; foreword by Doug Cutting. 
 - 2nd ed. 
 - Beijing ;    Sebastopol, CA :    O’Reilly,    c2009. 
 - xix, 501 p. :    ill. ;    24 cm. 
<br/><br/> "MapReduce for the cloud"--Cover.  "Yahoo! Press"--Cover.  Includes index. 
<br/><br/>1. Meet Hadoop -- 2. MapReduce -- 3. The Hadoop Distributed Filesystem -- 4. Hadoop I/O -- 5. Developing a MapReduce Application -- 6. How MapReduce Works -- 7. MapReduce Types and Formats -- 8. MapReduce Features -- 9. Setting Up a Hadoop Cluster -- 10. Administering Hadoop -- 11. Pig -- 12. Hive -- 13. HBase -- 14. ZooKeeper -- 15. Sqoop -- 16. Case Studies. 
<br/><br/> Discover how Apache Hadoop can unleash the power of your data. This comprehensive resource shows you how to build and maintain reliable, scalable, distributed systems with the Hadoop framework -- an open source implementation of MapReduce, the algorithm on which Google built its empire. Programmers will find details for analyzing datasets of any size, and administrators will learn how to set up and run Hadoop clusters. This revised edition covers recent changes to Hadoop, including new features such as Hive, Sqoop, and Avro. It also provides illuminating case studies that illustrate how Hadoop is used to solve specific problems. Looking to get the most out of your data? This is your book. 
<br/><br/><label>ISBN: </label>9781449389734 
<br/><br/><label>Subjects--Uniform Titles: </label><br/>Apache Hadoop (Computer file)
<br/><br/><label>Subjects--Topical Terms: </label><br/>Electronic data processing -- Distributed processing.<br/>File organization (Computer science)<br/>Cloud computing.
<br/><br/><label>Dewey Class. No.: </label>005.74