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courses:mapreduce-tutorial [2012/01/28 17:51]
straka 		courses:mapreduce-tutorial [2012/01/30 15:46]
straka
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 === Advanced MapReduce exercises === === 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. 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 13]]: Sorting. 
-  * [[.: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.
  
 ===== Day 2 ===== ===== Day 2 =====
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   * [[.:mapreduce-tutorial:Step 24]]: Mappers, running Java Hadoop jobs.   * [[.:mapreduce-tutorial:Step 24]]: Mappers, running Java Hadoop jobs.
   * [[.:mapreduce-tutorial:Step 25]]: Reducers, combiners and partitioners.   * [[.:mapreduce-tutorial:Step 25]]: Reducers, combiners and partitioners.
-  * [[.:mapreduce-tutorial:Step 26]]: Counters and job configuration.+  * [[.:mapreduce-tutorial:Step 26]]: Counters, compression and job configuration.
  
-=== Custom data types and formats === +=== Advanced topics === 
-  * [[.:mapreduce-tutorial:Step 27]]: Custom data types +  * [[.:mapreduce-tutorial:Step 27]]: Custom data types. 
-  * [[.:mapreduce-tutorial:Step 28]]: Custom input formats+  * [[.:mapreduce-tutorial:Step 28]]: Running multiple Hadoop jobs in one class. 
 +  * [[.:mapreduce-tutorial:Step 29]]: Custom input formats.
  
-=== Exercises === +Add: Secondary sorting comparator a grouping comparator. 
-  * [[.:mapreduce-tutorial:Step 29]]: Inverted index. + 
-  * [[.:mapreduce-tutorial:Step 13]], [[.:mapreduce-tutorial:Step 14]] and [[.:mapreduce-tutorial:Step 15]]+=== Beyond MapReduce === 
 +  * [[.:mapreduce-tutorial:Step 30]]: Implementing iterative MapReduce jobs faster using All-Reduce.
  
 ===== Other ===== ===== Other =====
   * [[user:majlis:hadoop|Further information]]   * [[user:majlis:hadoop|Further information]]
  

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