Big Data-9Vs, Challenges and Solutions

Abstract

Big data refers to the data whose large volume, value, complexity, exponential arrival and growth rate makes it very difficult to be captured, efficiently managed, processed and analyzed within a certain time frame by conventional techniques.  This paper provides a comprehensive review on the background of big data, its importance and related challenges. It gives an insight into fundamentals of security and risks associated with big data along with certain possible solutions. The existing 3V model of big data consisting of Value, Velocity and Volume is revised in this research work and a more realistic model compromising of 9Vs has been devised for future modelling and classification of big data.