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courses:mapreduce-tutorial [2012/02/05 17:56]
straka
courses:mapreduce-tutorial [2012/02/05 20:01] (current)
straka
Line 9: Line 9:
   * [[.:mapreduce-tutorial:Hadoop job overview]]   * [[.:mapreduce-tutorial:Hadoop job overview]]
   * [[.:mapreduce-tutorial:Managing a Hadoop cluster]]   * [[.:mapreduce-tutorial:Managing a Hadoop cluster]]
-  * [[.:mapreduce-tutorial:Submitting jobs]]+  * [[.: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]]   * [[.:mapreduce-tutorial:If things go wrong]]
  
Line 39: Line 41:
   * [[.: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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