PowerBI.tips

Model Performance in DAX Studio

June 3, 2020 By Seth Bauer
Model Performance in DAX Studio

Understand more about your model then you thought possible! This is part two in our series on DAX Studio. If you missed part one be sure to check out the Introduction to DAX Studio.
In this session Marco Russo shares the fundamentals for model performance in DAX Studio and dives into key areas that you absolutely need to understand. Marco is an accomplished trainer and you won’t find a better resource to guide you on this journey.

Using DAX Studio in conjunction with Vertipaq Analyzer Marco shows us how we can discover and explore the key statistics about our models.
Use Vertipaq Analyzer against your open Power BI model or any tabular model. This tool only exports the tabular metadata, not the data! So we can do offline analysis on a model we don’t have access to by having people with permissions export these metrics. Better yet, we can download this into Excel and everything gets broken down for you all the way to your relationships and measures… AMAZING!

Previous

Hot Swap Power BI Report Connections

More Posts

Sep 24, 2026

Agentic Dev of PBI Reports – Ep.566

Kurt Buhler tells Tommy Puglia and Mike Carlo that a full Power BI report from an agent went from a bad idea to a half-hour build in the span of a week. The catch, in his telling, is the report format, the context you bring, and a requirements process that now has to scale past a single page.

Sep 22, 2026

Your Identity and Power BI – Ep.565

Tommy Puglia, Mike Carlo, and Kurt Buhler spend this episode on what is left of the Power BI identity once Microsoft Fabric and agents are part of the job. The skill that still decides the work is judgment: listening to the business, and staying critical of what an agent hands back.

Sep 17, 2026

Self Aware in Data and AI Literacy – Ep.564

Power Query is moving a set of cloud connectors from ODBC to ADBC, and legacy Power BI Q&A now stays through February 2027. Kurt Buhler joins Tommy Puglia and Mike Carlo to sort out what data literacy and AI literacy require once Microsoft Fabric and agents make it easy to build faster than a team can review.