Why a data scientist is not a data engineer
O'Reilly Media - Ideas
APRIL 9, 2019
To validate their findings, they contracted another data scientist with a specialty in image processing. In the two hours I spent with the team, it was clear that the algorithm could be distributed on a general-purpose compute engine, like Spark. Continuous integration. Project management frameworks like Agile or Scrum.
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