Abstract: Map reduce is a programming model for examining and processing large data sets .Apache hadoop is an effective framework and most popular implementation of the map reduce model. Hadoop’s success has motivated research interest and has led to different modifications as well as extensions to framework. In this paper, the challenges round faced to in several domain like data storage, analytics, online processing and privacy/ security issues while handling big data by using K –means algorithm for clustering and SVM algorithm for classification. Also we provide the security by AES algorithm. In this paper, we focus specifically on Hadoop and its implementation of Map Reduce for analytical processing.
Keywords: Big Data, Telecom Domain, Map Reduce, Call Detail Records.