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courses:mapreduce-tutorial [2012/01/31 12:44]
straka 		courses:mapreduce-tutorial [2012/02/05 20:01]
straka
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   * [[.:mapreduce-tutorial:Introduction]]   * [[.:mapreduce-tutorial:Introduction]]
  
 +===== Overview =====
 +  * [[.:mapreduce-tutorial:Hadoop job overview]]
 +  * [[.:mapreduce-tutorial:Managing a Hadoop cluster]]
 +  * [[.:mapreduce-tutorial:Running jobs]]
 +  * [[.:mapreduce-tutorial:Perl API]], [[.http://hadoop.apache.org/common/docs/r1.0.0/api/index.html|Java API]]
 +  * [[.:mapreduce-tutorial:Making your job configurable]]
 +  * [[.:mapreduce-tutorial:If things go wrong]]
  
 ===== Day 1 ===== ===== Day 1 =====
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   * [[.:mapreduce-tutorial:Step 14]]: N-gram language model.   * [[.:mapreduce-tutorial:Step 14]]: N-gram language model.
   * [[.:mapreduce-tutorial:Step 15]]: K-means clustering.   * [[.:mapreduce-tutorial:Step 15]]: K-means clustering.
 +
 +=== Beyond MapReduce ===
 +  * [[.:mapreduce-tutorial:Step 16]]: Implementing iterative MapReduce jobs faster using All-Reduce.
  
 ===== Day 2 ===== ===== Day 2 =====
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   * [[.:mapreduce-tutorial:Step 25]]: Reducers, combiners and partitioners.   * [[.:mapreduce-tutorial:Step 25]]: Reducers, combiners and partitioners.
   * [[.:mapreduce-tutorial:Step 26]]: Compression and job configuration.   * [[.:mapreduce-tutorial:Step 26]]: Compression and job configuration.
 +  * [[.:mapreduce-tutorial:Step 27]]: Running multiple Hadoop jobs in one source file.
  
 === Advanced topics === === Advanced topics ===
-  * [[.:mapreduce-tutorial:Step 27]]: Custom data types. +  * [[.:mapreduce-tutorial:Step 28]]: Custom data types.
-  * [[.:mapreduce-tutorial:Step 28]]: Running multiple Hadoop jobs in one class.+
   * [[.:mapreduce-tutorial:Step 29]]: Custom sorting and grouping comparators.   * [[.:mapreduce-tutorial:Step 29]]: Custom sorting and grouping comparators.
   * [[.:mapreduce-tutorial:Step 30]]: Custom input formats.   * [[.:mapreduce-tutorial:Step 30]]: Custom input formats.

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