Discussing SQLBI's 7 Reasons DAX is Not Easy

December 15, 2021 By Seth Bauer

First of all, go read this amazing blog put out by Alberto Ferrari over at SQLBI that he posted awhile ago. It is the context for the conversation we had and is well worth the read. 7 Reason DAX is Not Easy If you are new to DAX you will find a wealth of deep, insightful and helpful content in anything you find on SQLBI. Marco and Alberto are amazing guru’s in DAX and tabular models and have been perfecting their craft and helping the wider community hone their skills for many years.

I’m not going to re-hash the article as you should go read it yourself on their site. The points we talk about in depth in the podcast relate to focusing on the best methods to approaching and learning DAX. We take our experiences and the methods we learned and discuss at length the different points made in the article. Explore with us how you get better and overall simplify your process when building or troubleshooting DAX.

Key Takeaways

Tommy

Practice with Intent

Understand each part of the calculation

Reverse engineer Calculations

Seth

Start Simple

Break down the problem to simple forms

Use variables and tables to build measures

Mike

Use Community Tools –

Power BI Side Tools (Download with Business Ops)

DAX Generator

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Kicking Off Fabric the Right Way - Ep. 508

Mike and Tommy break down what it really means to start a Fabric implementation the right way, from setting expectations early to choosing practical first moves that won't box teams in later. They also cover a coming permissions change for Fabric data agents that makes semantic models easier for more people to use.

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AI-Assisted TMDL Workflow & Hot Reload – Ep. 507

Mike and Tommy explore AI-assisted TMDL workflows and the hot reload experience for faster Power BI development. They also cover the new programmatic Power Query API and the GA release of the input slicer.

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Filter Overload – Ep. 506

Mike and Tommy dive into the February 2026 feature updates for Power BI and Fabric, with a deep focus on the new input slicer going GA and what it means for report filtering. The conversation gets into filter overload — when too many slicers and options hurt more than they help.