Mastering DAX Workshop (Oct 28–30, 2025)
A three-day, in‑person, world‑class deep dive into the DAX language and advanced data modeling patterns – delivered in Lugano just before the Ticino Data Conference by the globally recognized SQLBI faculty.
The Mastering DAX workshop is the definitive advanced training for professionals who already use DAX and want to elevate semantic model design, performance optimization, calculation patterns, and analytical thinking. It is authored and delivered by Marco Russo, one of the most renowned experts in the Microsoft BI ecosystem and co‑creator of many foundational DAX techniques adopted worldwide.
Across three intensive days you refine how you think about data models, evaluation contexts, calculation groups, composite models, optimization, scalability, and real‑world problem solving. Expect a fast pace, lots of whiteboard reasoning, and hands‑on scenarios drawn from enterprise projects.
Why This Workshop Matters
- Designed and delivered by the world authorities on DAX & Power BI.
- Goes beyond syntax into thinking in DAX, shaping efficient models and reusable calculation patterns.
- Clarifies performance internals: storage engine vs. formula engine, VertiPaq optimization, dependencies.
- Bridges theory and production: learn battle‑tested approaches used in enterprise implementations.
- Prepares you to build scalable, maintainable, future‑proof semantic layers.
Who Should Attend
BI developers, data modelers, advanced Power BI authors, solution architects and consultants who already know basic DAX and want to master complex calculations, reading performance, refactoring models, and delivering durable analytical solutions.
Official Details & Registration
This page is an overview only. Full official agenda, prerequisites, pricing, seat availability, and registration are published on SQLBI's website.
View the official Mastering DAX Workshop page on SQLBI.com →
See all conference speakers – including featured presenter Marco Russo.
If you plan to attend both the workshop and the Ticino Data Conference on Oct 31, consider arranging travel and accommodation early—demand will be high.