The preponderance of voluminous and varied data arriving at a high velocity virtually every second has been the primary driver of the emergent field of data science. It’s been about a decade since this phenomenon became widespread, when “big data” started showing up on every list of emerging technical issues.
Every business, organization, government, and institution has mounds of the stuff and the primary role of their data scientists is to make sense out of it, often empowered by algorithms that have been designed to interpret patterns. Data science jobs are in high demand, but they’re not easy to do well or for a long time.
Author: Diana S. Sinton