Mapreduce is a framework for processing big data (huge data sets using a large number of commodity computers). It processes the data in two phases namely Map and Reduce phase. This programming model is inherently parallel and can easily process large-scale data with the commodity hardware itself.
It is highly integrated with hadoop distributed file system for processing distributed across data nodes of clusters.
