Imagine a world without any data. Now imagine the extent of all the available data. Both are equally unimaginable. Every second of the day, petabytes of data are being produced. However, copious amounts of data, also known as big data, in and of itself are not useful until it is computed. As John Allen Paulos famously once said – “Data data everywhere but not a thought to think.”, we are surrounded by an overwhelming amount of data. Still, the real value of having data and analytics teams is in generating this data’s insights.

Big data needs to be explored, tamed, analyzed, and interpreted before it can be of use. In the recent past, organizations have hired unicorns to help them solve this problem. Unicorns named data scientists that can help them to store, retrieve, and tame their unstructured data. They are also expected to generate predictive insights from the data using advanced analytics.

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