Boost Power BI Productivity with TMDL Libraries
Proposed session for SQLBits 2026TL; DR
Stop recreating the same tables and measures in every Power BI model! Learn how Tabular Model Definition Language (TMDL) helps you build reusable libraries for consistent development.
Session Details
If you’ve ever recreated the same tables, measures, and calculations across multiple Power BI models, you know how boring and error-prone it can be. This session introduces Tabular Model Definition Language (TMDL) as a game-changer for Power BI developers who want to work smarter, not harder.
TMDL is a human-readable, text-based representation of Power BI semantic models that enables you to create and maintain a library of reusable tables, measures, and metadata all with version control.
TMDL is a human-readable, text-based representation of Power BI semantic models that enables you to create and maintain a library of reusable tables, measures, and metadata all with version control.
3 things you'll get out of this session
Understand what TMDL is
Creating a TMDL library of tables and measures
Adding source control to the library
Speakers
Laura Graham-Brown's other proposed sessions for 2026
She-Ra and the Masters of the Dataverse - 2026
"Low Code, High Chaos: Taming the Shadow IT Beast" - 2026
Centre of Excellence: Your Governance Superheroes Assemble! - 2026
Copilots, Chaos and Control: Getting Real About AI Productivity - 2026
Fabric Data Agents vs. Copilot Studio - 2026
Microsoft Fabric Activator and Power Automate - a great combination - 2026
Microsoft Fabric and the mess of SharePoint - 2026
Translytical Flows vs Embedding a Power App in your report - 2026
Why should we care about adoption? - 2026
Laura Graham-Brown's previous sessions
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