Difference between revisions of "Hadoop/MapReduce Tutorials"

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[[Hadoop Tutorial 1 -- Running WordCount | Tutorial #1]]
 
[[Hadoop Tutorial 1 -- Running WordCount | Tutorial #1]]
 
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Running WordCount written in Java on the Smith College Hadoop/MapReduce Cluster
 
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]]
 
[[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.
 
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]]
 
[[Hadoop Tutorial 2 -- Running WordCount in Python | Tutorial #2]]
 
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Running WordCount in Python on the Smith College Hadoop/MapReduce Cluster
 
Running WordCount in Python on the Smith College Hadoop/MapReduce Cluster
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[[Hadoop Tutorial 3 -- Hadoop on Amazon AWS | Tutorial #3]]
 
[[Hadoop Tutorial 3 -- Hadoop on Amazon AWS | Tutorial #3]]
 
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Running Hadoop jobs on Amazon AWS
 
Running Hadoop jobs on Amazon AWS
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[[Hadoop_Tutorial_3.1_--_Using_Amazon's_WordCount_program | Tutorial #3.1]]
 
[[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.
 
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]]
 
[[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.
 
Compiling our own version of the Java WordCount program and uploading it to AWS.
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[[Hadoop Tutorial 4: Start an EC2 Instance | Tutorial #4]]
 
[[Hadoop Tutorial 4: Start an EC2 Instance | Tutorial #4]]

Revision as of 14:55, 4 April 2010

AmazonAWS.jpg


HadoopCartoon.png



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








Tutorial Comments

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 #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

Compiling our own version of the Java WordCount program and uploading it to AWS.

Tutorial #4

Start a server on Amazon's EC2 infrastructure