Background The emerging trends in recent years are "Big Data" and "Big Data Analytics" which have become popular globally. They facilitate the analysis of the entire data in real time by developing and using machine-to-machine algorithms for predictive modelling and to arrive at decisions based on such models [1]. According to McKinsey [2] "Big Data" is considered as the datasets that challenge the ability of typical applications and technologies in managing and analysing the data. Big data also challenges the human imagination. For example, while some might consider a few dozen terabytes as big data, in reality it is not. Surely, it is a large dataset but can still be managed and stored in a local network attached storage (NAS) or storage area network (SAN) using array of disks. By and large, it can be perceived that big data is petabytes in size requiring a complex distributed

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