Master concepts and applications of MapReduce in Big Data. MapReduce can be defined as the sub-module of Hadoop that offer huge scalability of data spread across numerous of commodity clusters. MapReduce comprises of two things that work consecutively to process the analytics. The process in both the different parts is done in a parallel manner helping save a lot of time while working with significant data. In the traditional data analysis approach, the data was analyzed serially and MapReduce overcomes that problem.
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