Managing Big data using Hadoop Map Reduce in Telecom Domain
Abstract– Map reduce is a programming model for analysing and processing large massive data sets. Apache Hadoop is an efficient frame work and the most popular implementation of the map reduce model. In contrast, Hadoop’s success has motivated research interest and has led to different modifications as well as extensions to framework. In this paper, the challenges faced in different domains like data storage, analytics, online processing and privacy/ security issues while handling big data are explored. Although this may be true, also the various possible solutions with respect to Telecom domain with Hadoop Map reduce implementation .