In traditional DBMS system handled well structured and no two elements occur twice. But more than one occurrence is quite natural in big data processing. Moreover last decades many characteristics (like volume, variety, value) coupled with the data, makes the searching complex for the traditional database system. Effective way of storing the data makes it easier way to processes the data. The main objective of this paper is to find similarity over large data that needs effective and efficient processing of raw data within a satisfactory response time. © RJPT All right reserved.