View source for Hadoop/MapReduce Tutorials

--[[User:Thiebaut|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.

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::{|
! Tutorial
! Description
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[[Hadoop Tutorial 1 -- Running WordCount | Tutorial #1]]
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Running WordCount written in Java on the Smith College Hadoop/MapReduce Cluster
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[[Hadoop Tutorial 1.1 -- Generating Task Timelines | Tutorial #1.1]]
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Creating timelines of the execution of tasks during the execution of a MapReduce program.
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[[Hadoop Tutorial 2 -- Running WordCount in Python | Tutorial #2]]
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Running WordCount in Python on the Smith College Hadoop/MapReduce Cluster
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[[Hadoop_Tutorial_2.1_--_Streaming_XML_Files | Tutorial #2.1]]
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Running a streaming Python MapReduce program on XML files
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[http://cs.smith.edu/dftwiki/index.php/Hadoop_Tutorial_2.2_--_Running_C%2B%2B_Programs_on_Hadoop Tutorial #2.2]
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Running C++ programs under Hadoop Pipes
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[[Hadoop Tutorial 3 -- Hadoop on Amazon AWS | Tutorial #3]]
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Running Hadoop jobs on Amazon AWS
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[[Hadoop_Tutorial_3.1_--_Using_Amazon's_WordCount_program | Tutorial #3.1]]
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Uploading text to S3 and running Amazon's WordCount Java program on our own data.
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[[Hadoop_Tutorial_3.2_--_Using_Your_Own_WordCount_program | Tutorial #3.2]]
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Uploading and Running your own streaming version of the WordCount program on AWS.
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[[Hadoop Tutorial 3.3 -- How Much? | Tutorial #3.3]]
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Computing the cost of maintaining a cluster of 6 MapReduce instances on Amazon's AWS
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[[Hadoop Tutorial 4: Start an EC2 Instance | Tutorial #4]]
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Start a server on Amazon's EC2 infrastructure
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[[Category:CSC352]][[Category:Hadoop]][[Category:MapReduce]][[Category:Amazon AWS]][[Category:Tutorials]]