Hadoop/MapReduce Tutorials

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

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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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