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Both sides previous revision Previous revision 2012/01/28 20:18 straka 2012/01/28 20:18 straka 2012/01/28 20:17 straka 2012/01/28 20:16 straka 2012/01/28 17:51 straka 2012/01/28 00:35 straka 2012/01/28 00:34 straka 2012/01/28 00:31 straka 2012/01/27 23:31 straka 2012/01/27 20:12 straka 2012/01/27 16:22 straka 2012/01/27 00:45 straka 2012/01/27 00:44 straka 2012/01/27 00:42 straka 2012/01/27 00:06 straka 2012/01/27 00:06 straka 2012/01/26 18:44 straka 2012/01/26 18:27 straka 2012/01/26 18:26 straka 2012/01/26 18:26 straka 2012/01/26 18:26 straka 2012/01/26 18:26 straka 2012/01/26 18:26 straka 2012/01/25 22:20 straka 2012/01/25 22:03 straka 2012/01/25 21:10 straka 2012/01/25 18:38 straka 2012/01/25 15:46 straka 2012/01/25 15:44 straka 2012/01/25 15:40 straka 2012/01/25 14:47 straka 2012/01/25 14:34 straka 2012/01/25 12:19 straka 2012/01/25 00:56 straka 2012/01/25 00:54 straka 2012/01/25 00:33 straka 2012/01/24 22:42 straka 2012/01/24 22:39 straka 2012/01/24 19:04 straka 2012/01/24 08:45 straka 2012/01/24 08:41 straka 2012/01/23 21:36 straka 2012/01/23 20:57 straka 2012/01/23 20:56 straka 2012/01/23 20:54 straka 2012/01/13 11:13 majlis 2012/01/13 11:09 majlis vytvořeno Go Next revision		Previous revision 2012/01/28 20:18 straka 2012/01/28 20:18 straka 2012/01/28 20:17 straka 2012/01/28 20:16 straka 2012/01/28 17:51 straka 2012/01/28 00:35 straka 2012/01/28 00:34 straka 2012/01/28 00:31 straka 2012/01/27 23:31 straka 2012/01/27 20:12 straka 2012/01/27 16:22 straka 2012/01/27 00:45 straka 2012/01/27 00:44 straka 2012/01/27 00:42 straka 2012/01/27 00:06 straka 2012/01/27 00:06 straka 2012/01/26 18:44 straka 2012/01/26 18:27 straka 2012/01/26 18:26 straka 2012/01/26 18:26 straka 2012/01/26 18:26 straka 2012/01/26 18:26 straka 2012/01/26 18:26 straka 2012/01/25 22:20 straka 2012/01/25 22:03 straka 2012/01/25 21:10 straka 2012/01/25 18:38 straka 2012/01/25 15:46 straka 2012/01/25 15:44 straka 2012/01/25 15:40 straka 2012/01/25 14:47 straka 2012/01/25 14:34 straka 2012/01/25 12:19 straka 2012/01/25 00:56 straka 2012/01/25 00:54 straka 2012/01/25 00:33 straka 2012/01/24 22:42 straka 2012/01/24 22:39 straka 2012/01/24 19:04 straka 2012/01/24 08:45 straka 2012/01/24 08:41 straka 2012/01/23 21:36 straka 2012/01/23 20:57 straka 2012/01/23 20:56 straka 2012/01/23 20:54 straka 2012/01/13 11:13 majlis 2012/01/13 11:09 majlis vytvořeno Go Next revision Both sides next revision
courses:mapreduce-tutorial [2012/01/24 08:41] straka		courses:mapreduce-tutorial [2012/01/25 21:10] straka
Line 15:		Line 15:
	* [[.:mapreduce-tutorial:Step 2]]: Input and output format, testing data.		* [[.:mapreduce-tutorial:Step 2]]: Input and output format, testing data.
	* [[.:mapreduce-tutorial:Step 3]]: Basic mapper.		* [[.:mapreduce-tutorial:Step 3]]: Basic mapper.
-	* [[.:mapreduce-tutorial:Step 4]]: Basic reducer.
	* [[.:mapreduce-tutorial:Step 4]]: Counters.		* [[.:mapreduce-tutorial:Step 4]]: Counters.
		+	* [[.:mapreduce-tutorial:Step 5]]: Basic reducer.
	=== Controlling the cluster ===		=== Controlling the cluster ===
-	* [[.:mapreduce-tutorial:Step 5]]: Dynamic cluster for one computation.	+	* [[.:mapreduce-tutorial:Step 6]]: Running on cluster.
-	* [[.:mapreduce-tutorial:Step 6]]: Dynamic cluster for several computations.	+	* [[.:mapreduce-tutorial:Step 7]]: Dynamic Hadoop cluster for several computations.
		+
		+	From now on, it is best to run MR jobs using a one-machine cluster. Running the scripts locally without any cluster has several disadvantages, most notably having only one reducer per job.
		+
		+	=== 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 ===
		+	* [[.:mapreduce-tutorial:Step 13]]: Sorting
		+	* [[.:mapreduce-tutorial:Step 14]]: N-gram language model
		+	* [[.:mapreduce-tutorial:Step 15]]: K-means algorithm
	===== Other =====		===== Other =====
	* [[user:majlis:hadoop|Further information]]		* [[user:majlis:hadoop|Further information]]

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