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courses:mapreduce-tutorial [2012/01/24 22:39]
straka 		courses:mapreduce-tutorial [2012/02/05 20:01] (current)
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 =====
Line 23: Line 30:
  
 === MapReduce extended === === MapReduce extended ===
 +  * [[.:mapreduce-tutorial:Step 8]]: Multiple mappers, reducers and partitioning.
 +  * [[.:mapreduce-tutorial:Step 9]]: Hadoop properties.
 +  * [[.:mapreduce-tutorial:Step 10]]: Combiners.
 +  * [[.:mapreduce-tutorial:Step 11]]: Initialization and cleanup of MR tasks, performance of combiners.
 +  * [[.:mapreduce-tutorial:Step 12]]: Additional output from mappers and reducers.
 +
 +=== Advanced MapReduce exercises ===
 +Exercises in this section can be made in any order, but it is recommended to try solving all of them. The [[.:mapreduce-tutorial:Perl API|Perl API reference]] may come handy.
 +  * [[.:mapreduce-tutorial:Step 13]]: Sorting.
 +  * [[.:mapreduce-tutorial:Step 14]]: N-gram language model.
 +  * [[.:mapreduce-tutorial:Step 15]]: K-means clustering.
 +
 +=== Beyond MapReduce ===
 +  * [[.:mapreduce-tutorial:Step 16]]: Implementing iterative MapReduce jobs faster using All-Reduce.
 +
 +===== Day 2 =====
 +
 +Today we will be using the [[http://hadoop.apache.org/common/docs/r1.0.0/api/index.html|Java API]].
 +
 +=== Environment ===
 +  * [[.:mapreduce-tutorial:Step 21]]: Preparing the environment.
 +  * [[.:mapreduce-tutorial:Step 22]]: Optional -- Setting Eclipse.
 +
 +=== Java Hadoop basics ====
 +  * [[.:mapreduce-tutorial:Step 23]]: Predefined formats and types.
 +  * [[.:mapreduce-tutorial:Step 24]]: Mappers, running Java Hadoop jobs, counters.
 +  * [[.:mapreduce-tutorial:Step 25]]: Reducers, combiners and partitioners.
 +  * [[.:mapreduce-tutorial:Step 26]]: Compression and job configuration.
 +  * [[.:mapreduce-tutorial:Step 27]]: Running multiple Hadoop jobs in one source file.
 +
 +=== Advanced topics ===
 +  * [[.:mapreduce-tutorial:Step 28]]: Custom data types.
 +  * [[.:mapreduce-tutorial:Step 29]]: Custom sorting and grouping comparators.
 +  * [[.:mapreduce-tutorial:Step 30]]: Custom input formats.
 +
 +=== Beyond MapReduce ===
 +  * [[.:mapreduce-tutorial:Step 31]]: Implementing iterative MapReduce jobs faster using All-Reduce.
  
 ===== Other ===== ===== Other =====
   * [[user:majlis:hadoop|Further information]]   * [[user:majlis:hadoop|Further information]]
  

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