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A collection of 3 issues

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dab-draft: a better templating of Databricks Assets Bundles

TL;DR: This is still in a 0.x stage, but you can see dab-draft on Github, which is (IMO) a better and less error-prone way to define and maintain large Databricks Assets Bundles configurations. Two things are true about me. 1. I’ve always been a big fan of

Swimming downstream: maintaining your data posture from AI to BI

(This is part 1 of a series of posts around data posture for data and AI products. The next sections will focus on key elements of this post in greater details. I welcome feedback and comments!) Data quality always felt somehow esoteric to me. I’ve read plenty of reference

Debugging your tools

Update (2024): Do not use dbx, prefer using Databricks Assets Bundles instead. It's better supported and integrates directly with the Databricks CLI. A few weeks ago, I got the weirdest error using dbx to deploy a number of jobs to Databricks. dbx is an open-source tool used for