Applications of MapReduce in big data concepts

Abstract

Big data analytics is challenging for storage and creating a cluster in Hadoop and using map reduce technique analysis of large data sets. Due to increase huge volume of data, processing and availability of data, the size of storage data is increasing in zeta-bytes. Hadoop is one of the technologies in the real world for analysing the data through Hadoop Distributed File System MapReduce component for processing the data concurrently to improving throughput. In this paper discussed how the map reducer algorithms is implemented in various clustering algorithms of big data