It is so easy to write Databrick notebooks! Let's take Azure DataBricks as an example. You create a Dev instance of workspace and just use it as your IDE. Develop your code, organize everything into nice commands, verify that everything works as expected, export those notebooks into a git repo, and then promote your code to follow up environments, up to production! Job well done!

Only then, there might be a nagging feeling from your good software developer part — where is the quality? That kind of question can also come from a DevOps person, architect, or security team.

So…

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