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Hadoop MapReduce

MapReduce is a programming model for processing large data sets with a parallel, distributed algorithm on a Hadoop cluster. It consists of:

• A Map() function that performs filtering and sorting
• A Reducer() function that performs s summary operation

The following session explains in detail about:

• Map Reduce Process
• Use cases of Map Reduce
• Sample Cluster Configuration
• Anatomy of a Map Reduce Program
• Need of Map Reduce