Since our days as cavemen, people and companies have been tasked with what seems like an impossible job: Take in massive amounts of data, process that data, and make decisions based on that data for our benefit and the benefit of others. And while the types of data have changed and the tools used to analyze data have grown exponentially more sophisticated, the process is as old as our species itself.  

Over the past few years, the idea of harnessing data has been in the spotlight. Big data emerged as a C-level issue and has moved from the Trough of Disillusionment into the Slope of Enlightenment. During this time, no profession has been impacted more than the data scientist. Once an afterthought often perceived as a loner in front of a spreadsheet, data scientists have emerged as corporate rock stars charged with helping organizations harness massive volumes of data using advanced analytics.

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