How to develop big data applications for Hadoop [electronic resource] / by Ken Krugler ... [et al.].

Contributor(s): Series: Safari Books Online2011Description: 1 streaming video file (2 hrs., 25 min., 31 sec.) : digital, sd., colSubject(s): Genre/Form: Online resources: Summary: "Distributed applications running on Hadoop clusters can deliver powerful insights and results from the biggest data sets ever generated. But do you have to be a rocket scientist to use it? Fortunately, the answer is no. This tutorial will explain the theory of MapReduce and how to develop big data applications in Java and higher level languages such as Pig and Hive SQL." -- Resource description page.
Item type: eBooks
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Title from resource description page (viewed Jul. 15, 2011).

Recorded at O'Reilly strata making data work conference: Feb. 1-3, 2011, Santa Clara, CA.

"Distributed applications running on Hadoop clusters can deliver powerful insights and results from the biggest data sets ever generated. But do you have to be a rocket scientist to use it? Fortunately, the answer is no. This tutorial will explain the theory of MapReduce and how to develop big data applications in Java and higher level languages such as Pig and Hive SQL." -- Resource description page.

Electronic reproduction. Boston, Mass. : Safari Books Online, 2011 Mode of access: World Wide Web. Available to subscribing institutions. s2011 maun s

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