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Data Science and AI with Sean Taylor (Chief Scientist at Motif Analytics, previously Data Science @ Facebook, Lyft)

What's New In Data

CHAPTER

The Best Use Cases for SQL

Data engineers are mostly proficient in SQL and some scripting tools. Data scientists usually proficient in Python and R packages on top of it like PANDAs. It seems like there's a bit of a fork in terms of tooling. And I think another way to think about solving problems is to start with what you have with your constraints. So if you want to actually join data across different systems, thenSQL can be harder to work with.

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