Paper Title
Big Data Variety, “Where Do We Stand”, An Overview of Big Data and the Variety Challenge

Abstract
Big Data was identified as the biggest innovation of computing technology in 2010‗s (Bryant, Katz and Lazowska, 2008). Institutions in several industries have embarked on a journey to utilize and gain from the use of Big Data. This paper will provide with an overview on the founding principles of Big Data, namely Volume, Velocity and Variety. In addition to the terms definition and associated technologies, related publications will be presented in providing with an evolutionary review of Big Data. Publications on each V are analysed with regards to quantity and quality, in identifying the degree of research performed. Variety which is ―the ugly duckling‖ of Big Data (Lennard, 2014) is further correlated to Data Heterogeneity in an attempt to learn from past experience, since Data Heterogeneity is being tacked for decades now (Luo et al., 2008). Having established an understanding of Big Data, analysed the V‗s in terms of definition and challenges and correlated the most challenging V (Variety) with another interrelated and actively researched for several decades topic (Data Heterogeneity), this paper serves as the basis to further research towards a solution to these challenges. Keywords - Big Data, Volume, Velocity, Variety, Data Heterogeneity