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Exposing the Data Scientist Myth: Using Big Data Without Them
December 11, 2015 Blog big data data science

This article was originally published by datanami.com and can be viewed in full

Many organizations assume that big data initiatives require mythical data scientists. This notion is partly propagated by the media scrutiny surrounding the data scientist shortage and by the numerous responsibilities of this profession, which include data preparation, cognizance of business problems and analytics, among others. Harvard Business Review seemingly solidified this perception with its announcement that data scientists had the ‘sexiest’ job of the 21st century.

However, a less acknowledged reality has quietly emerged within the wake of the aforementioned hype. The self-service movement has flourished throughout some of the most vital aspects of the data landscape and concentrated on big data. There are numerous situations and examples in which data scientists are not required to implement big data staples of data preparation, analytics and data governance.

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