Big data has gained tremendous traction in solving an avalanche of business problems in the current world. Unlike in traditional data management systems where data was recorded and ordered in a manner that it was used to show only one aspect of a scenario, big data allows decision-makers in the current world to make influential decisions based on analysis of extremely complex data (Sathi, 2012). Big data is collected from many sources and stored in large volumes. One of the most outstanding aspects of big data is its variety. A single data object can have numerous aspects collected from every sphere of his/her life. For instance, social media is one of the most prolific sources of consumer information. Most companies using big data in decision-making processes collect all information relating to comments and likes posted by their target individuals on social media (Kune, Konugurthi, Agarwal, Chillarige, & Buyya, 2011). Another striking feature of big data is that it can arrive at an extremely high speed. In a day more than 20 terabytes of data can be collected, making storage to be extremely heinous. As such, most companies using big data in making sound business decisions trash most of the data they collect on a daily basis.