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This term paper focuses on how the big data is analysed in a distributed environment through Hadoop Map Reduce. Big Data is same as “small data ” but bigger in size. Thus, it is approached in different ways. Storage of Big Data requires analysing the characteristics of data. It can be processed by the employment of Hadoop Map Reduce. Map Reduce is a programming model working parallel for large clusters. There are some principles that are followed by Hadoop Map Reduce. It also solves the challenges of cluster computing as it hides complexity and minimizes the movement of data