Analysis of Call Data Record (CDR) using Hadoop Cluster

Abstract

The management of big data is the most important issue for this decade since the real world applications are generating very large scale of data in petabytes and zetabytes scale. Most popular solution of big data management is a system based on Hadoop Distributed File System. However, implementing enterprise level solution is a challenge because of the production of such huge data. In this project, we employ Hadoop cluster to the telecommunication data since it produces a huge amount of log data regarding to customer calls as well as network equipment. To emphasize more realistic solution we ponder on call data details for our Big Data application. In this project, we have acquired real-time Call Data Record (CDR) data for our implementation from telco operator named Banglalink who is operating 30 million users in Bangladesh. To narrow down the scope, CDR data analytics using Hadoop cluster can result top callers to promote customer experience. This implement can also help Banglalink to implement similar application for backup data warehouse using Hadoop cluster for CDR analytics