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Anatomy of MapReduce in Big Data by anubhav gupta is a document available to read on EtoBox.

What is Anatomy of MapReduce in Big Data about?

MapReduce is a programming paradigm that runs in the background of Hadoop to provide scalability and easy data-processing solutions. The Map task takes a set of data and converts it into another set of data, where individual elements are broken down into tuples (key-value pairs). The Reduce task takes the output from the Map as an input and combines those data tuples (key-value pairs) into a smaller set of tuples.

Author

anubhav gupta

Language

EN