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|a Venner, Jason.
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|a Pro Hadoop /
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|a Berkeley, CA :
|b Apress,
|c ©2009.
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|a 1 online resource (xxvii, 405 pages) :
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|a The expert's voice in open source
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|a Includes bibliographical references and index.
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|a Ch. 1. Getting started with Hadoop core -- Ch. 2. The basics of a MapReduce job -- Ch. 3. The basics of multimachine clusters -- Ch. 4. HDFS details for multimachine clusters -- Ch. 5. MapReduce details for multimachine clusters -- Ch. 6. Tuning your MapReduce jobs -- Ch. 7. Unit testing and debugging -- Ch. 8. Advanced and alternate MapReduce techniques -- Ch. 9. Solving problems with Hadoop -- Ch. 10. Projects based on Hadoop and future directions -- App. A. The JobConf object in detail.
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|a "You learn the ins and outs of MapReduce; how to structure a cluster, design, and implement the Hadoop file system; and how to structure your first cloud--computing tasks using Hadoop. Learn how to let Hadoop take care of distributing and parallelizing your software--you just focus on the code, Hadoop takes care of the rest"--Resource description page
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|f Copyright © Apress
|g 2009
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|a University staff and students only. Requires University Computer Account login off-campus.
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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|a Venner, Jason.
|t Pro Hadoop.
|d Berkeley, CA : Apress, ©2009
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