Abstract
We are awash with "Big Data" to this very day because of the technological advancements made during the past decade. The notion of Big Data [1] refers to the datasets which are gigantic in size to be processed by conventional databases and management techniques (volume), are extremely diverse so that no single data model can capture all elements of the data (variety) and are produced or gathered at an unprecedented scale (velocity) [1]. Because of this sheer volume, variety, and velocity of big data, enterprises are facing data heterogeneity, diversity and complexity challenges. However, this big data era came with big opportunities by resolving the associated challenges, so it could transform our traditional way of decision-making. Enterprises with the technical expertise of managing big data are now replacing their usual guesswork and laborious legacy data modeling based decision making processes with facts derived from big data [2].
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