Comprehensive MapReduce

Comprehensive MapReduce course is designed for the learners to understand and implement various frameworks of MapReduce.

Hadoop MapReduce is a software framework for easily writing applications that process vast amounts of data (multi-terabyte data-sets) in-parallel on large clusters (thousands of nodes) of commodity hardware in a reliable, fault-tolerant manner.

A Comprehensive MapReduce job usually splits the input data-set into independent chunks which are processed by the map tasks in a completely parallel manner. The framework sorts the outputs of the maps, which are then inputted to the reduced tasks. Typically both the input and the output of the job are stored in a file-system. The framework takes care of scheduling tasks, monitoring them, and re-executes the failed tasks.

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