Franklin

How to Develop Big Data Applications for Hadoop [electronic resource] / Wensel, Chris.

Author/Creator:
Wensel, Chris, author.
Edition:
1st edition
Publication:
O'Reilly Media, Inc., 2011.
Format/Description:
Video
1 online resource (1 video file, approximately 2 hr., 26 min.)
Form/Genre:
Electronic videos.
System Details:
video file
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.
Notes:
Online resource; Title from title screen (viewed February 26, 2011)
Contributor:
Krugler, Ken, author.
M, Shevek, author.
Taha, Abe, author.
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