Difference between revisions of "Hadoop/MapReduce Tutorials"

Revision as of 15:52, 18 April 2010

--D. Thiebaut 16:01, 18 April 2010 (UTC)

These tutorials target the Hadoop/MapReduce Cluster in the CS Dept. at Smith College, as well as Amazon's EC2 and S3.

Tutorial	Description
Tutorial #1	Running WordCount written in Java on the Smith College Hadoop/MapReduce Cluster
Tutorial #1.1	Creating timelines of the execution of tasks during the execution of a MapReduce program.
Tutorial #2	Running WordCount in Python on the Smith College Hadoop/MapReduce Cluster
Tutorial #2.1	Running a streaming Python MapReduce program on XML files
Tutorial #2.2	Running C++ programs under Hadoop Pipes
Tutorial #3	Running Hadoop jobs on Amazon AWS
Tutorial #3.1	Uploading text to S3 and running Amazon's WordCount Java program on our own data.
Tutorial #3.2	Uploading and Running your own streaming version of the WordCount program on AWS.
Tutorial #3.3	Computing the cost of maintaining a cluster of 6 MapReduce instances on Amazon's AWS
Tutorial #4	Start a server on Amazon's EC2 infrastructure

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 [[Hadoop_Tutorial_3.2_--_Using_Your_Own_WordCount_program | Tutorial #3.2]]
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-Compiling our own version of the Java WordCount program and uploading it to AWS.
+Uploading and Running your own streaming version of the WordCount program on AWS.
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