Distributed data processing with Hadoop, Part 2: Going further

Posted by solrac on Jul 9, 2010 4:03 PM EDT
IBM/developerWorks; By M. Tim Jones 		Mail this story
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The first article in this series showed how to use Hadoop in a single-node cluster. This article continues with a more advanced setup that uses multiple nodes for parallel processing. It demonstrates the various node types required for multinode clusters and explores MapReduce functionality in a parallel environment. This article also digs into the management aspects of Hadoop—both command line and Web based.

Learn advanced setup that uses multiple nodes for parallel processing. It demonstrates the various node types required for multinode clusters and explores MapReduce functionality in a parallel environment. This article also digs into the management aspects of Hadoop—both command line and Web based.

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