Difference between revisions of "Hadoop/MapReduce Tutorials"
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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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| − | [[ | + | [[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]] | ||
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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]] | ||
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Revision as of 07:25, 1 April 2010
These tutorials target the Hadoop/MapReduce Cluster in the CS Dept. at Smith College, as well as Amazon's EC2 and S3.
| Tutorial | Comments |
|---|---|
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Running WordCount written in Java on the Smith College Hadoop/MapReduce Cluster | |
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Running WordCount in Python on the Smith College Hadoop/MapReduce Cluster | |
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Running Hadoop jobs on Amazon AWS | |
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Uploading text to S3 and running Amazon's WordCount Java program on our own data. | |
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Compiling our own version of the Java WordCount program and uploading it to AWS. | |
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Start a server on Amazon's EC2 infrastructure |
