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Why a data scientist is not a data engineer

O'Reilly Media - Ideas

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. Project management frameworks like Agile or Scrum. Bug tracking.

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AoAD2 Chapter 3: How to Be Agile

James Shore

1 To succeed with Agile, follow these steps: 1 The method in this book is primarily based on Extreme Programming, but it also draws inspiration from Scrum, Kanban, Lean Software Development, the DevOps movement, and Lean Startup. Here’s an example of how manager buy-in works in a complex situation, drawn from my experience as a consultant.

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