In my last post, I discussed how I've been using Sempy and SemPy Labs to convert column names to Snake Case . This post will explore the next important step: creating and managing measures. Having all measures simplifies processes significantly; it makes changes easier, makes smoother documentation, enhances AI productivity and facilitates deployment to a new semantic model. What I appreciate most is the ability to add descriptions and organise measures into folders effortlessly with AI, then...

Naming conventions are a small but crucial part of creating effective data solutions. In this post, I explore how to do in Microsoft Fabric