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I highly recommend Fundamental of Data Engineering book [1].

Hopefully the authors can update the book soon to reflect the latest information and expand with another entire chapter for data management as they did to data architecture.

[1] Fundamentals of Data Engineering:

https://www.oreilly.com/library/view/fundamentals-of-data/97...

This isn’t a handbook wtf. It’s more akin to an Awesome [topic] list like Awesome Python on GitHub showing all sorts of projects and things related to the language.

Nice list! Although as somebody who works on open source tools for data engineering, it kills me a little to see "companies" as the the list header rather than, say, "projects".

(also, shameless plug for my.latest project Wimsey which is non-company affiliated but does let you test data in a nice, lightweight way: https://github.com/benrutter/wimsey)

Is there a data analyst handbook? Starting a role in that soon (switching from SWE - tired of full-time programming)

Kimball's Data Warehousing book is excellent.

"This repo has all the resources you need to become an amazing data engineer!"

That's a bold claim. Is this a marketing post for selling courses?