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[Discussion] Resources for data architecture design for enterprise to support data science/ML

[Discussion] Resources for data architecture design for enterprise to support data science/ML

Hello,

I am looking for resources (books, blogs, courses) to learn more about designing data architecture for enterprise that supports executing data science projects at scale. I realize the importance of having an architecture that supports rapid experimentation, data access/abstraction, security baked in, while also being scale-ready whenever projects are ready for production.

Are you aware of any such resources? Have you read a book/blog that helped you with these questions for the enterprise you support? Thanks for your help!

https://preview.redd.it/z2jdothyrd841.png?width=1342&format=png&auto=webp&s=7b9ac09318fb491cb42a964f9cd0227c9c874583

submitted by /u/ucancallmebiru
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.