Tuesday 27 September 2011

Hadoop Essentials

Hadoop Essentials



Hadoop Essentials: A Quantitative Approach



This textbook works with the latest Hadoop stable release of 1. Search and download Hadoop Essentials: A Quantitative Approach for free. Download Hadoop Essentials: A Quantitative Approach and other books from rapidshare mediafire.
Store Search search Title, ISBN and Author Hadoop Essentials: A Quantitative Approach by Henry H. Liu Estimated delivery 3-12 business days Format Paperback Condition Brand New Details ISBN 1480216372 ISBN-13 9781480216372 Title Hadoop Essentials: A Quantitative Approach Author Henry H. Liu Format Paperback Pages 358 Publisher Createspace Dimensions 7.5 in. x 0.7 in. x 9.3 in. About Us Grand Eagle Retail is the ideal place for all your reading and entertainment needs! With fast shipping, low pr Find new edition of Hadoop Essentials here
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. It adopts a unique approach to helping developers and CS students learn Hadoop MapReduce programming fast. Rather than filled with disjointed, piecemeal code snippets to show Hadoop MapReduce programming features one at a time, it is designed to place your total Hadoop MapReduce programming learning process in a common application context of mining customer spending patterns ensconced in large volumes of credit card transaction record data. Precise, end-to-end procedures are given to help you set up your Hadoop MapReduce development environment quickly on Eclipse with Maven on Mac OS X or Linux. Step-by-step procedures are also given on how to set up a four-node Linux.



Hadoop Essentials - Liu, Henry H. 9781480216372


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Hadoop Essentials Createspace 9781480216372 09781480216372



Contributors: Henry H. Liu - Author. Format: Paperback



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.4. It adopts a unique approach to helping developers and CS students learn Hadoop MapReduce programming fast. Rather than filled with disjointed, piecemeal code snippets to show Hadoop MapReduce programming features one at a time, it is designed to place your total Hadoop MapReduce programming learning process in a common application context of mining customer spending patterns ensconced in large volumes of credit card transaction record data Step-by-step procedures are also given on how to set up a four-node Linux

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