This is the first article of the series “X in Production: A Fictional Example,” which aims to provide simplified examples of how a technology would be used in a real production environment. We hope this will help the reader understand what the technology is and how it’s used in a short amount of time.
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The past few years have seen the unrelenting growth of Big Data as companies increasingly place importance on business intelligence and analytics. Demand for Data Scientists soared as companies looked for mathematically inclined employees who could give them interesting insights on how to improve their business and ultimately increase revenue. Buried patterns or insights discovered by talented Data Scientists can give a company the competitive advantage to surpass its competitors.
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Academia is a worthwhile pursuit for those who want to work on investigation and teaching, but is often completely cut out from what Software Engineers call the “real world”. Since all teachers work in Academia, it is not really surprising that many students who enter the industry after completing their degree feel lost and out of their depth.
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