An overview and an Approach for Graph Data Processing using Hadoop MapReduce

A very large quantity of data which traditional applications fail to process, leads the world to the era of Big Data. With the increase in opportunity and technology scope, Big Data also leads to many challenges such as data capture, storage, transfer, update, analysis, sharing, search, visualization, privacy of data etc. In order to deal with all these challenges there is a need of proper framework which will not only process the data but also provide a meaningful analysis so as to take proper decision in critical situations either related to industry, healthcare, social network, science, telecom, environment, business etc. The contribution of this paper is to analyze literature related to Big Data & Hadoop framework and provide architecture to process Graph Data. Additionally, it provides online source code in order to understand big data for beginners.