AN ANALYTIC AND COMPARATIVE STUDY OF MAPREDUCE- A SYSTEMATIC REVIEW

Abstract

In information technology, rapidly increasing in the growth rate of big data generates various issues regarding storing, analysis and processing of large amount data which is collected from various distributed sources. Such problems are tackled by Hadoop framework. Because of it provides the various services, tools and techniques which are useful to store the different format data and also provides various techniques for processing the huge data sets. A MapReduce technique is used to parallel processing of large distributed data. In this survey paper, we collect the many research papers or articles from various conferences and journal’s since 2005-17. These all studies are collected from various digital libraries to find out the performances of MapReduce in the research field.