International Journal of Engineering and Innovative Technology (IJEIT)
Today's world is driven by growth and innovation for a better future. All of which are based on analysis and harnessing of tons of data, typically known as big data. The tasks involved for achieving results at such a scale can be challenging and painfully slow. This paper works towards an approach for effectively solving a large and computationally intensive problem by leveraging the capabilities of Hadoop and Hbase. Here the authors demonstrate how to reduce and distribute the large problem across multiple nodes as small chunks and later aggregate the results obtained for the various chunks to arrive at the desired result.