Fabric Starter Platform
Medallion architecture, incremental ingestion and deployment pipelines
Microsoft Fabric · Power BI · Python · SQL · DAX
What it does
Gives you a working medallion-architecture Fabric implementation with incremental ingestion, idempotent transformation notebooks, a Direct Lake semantic model and parameterised deployment pipelines — plus the written decisions behind each choice.
Who it is for
Power BI developers moving into platform work, and consultants who need a defensible starting architecture rather than a blank workspace.
What you are buying#
Not a template to fill in — a working implementation with the reasoning attached. The architecture decision record is arguably the most valuable file in the package, because it is the part you will need when someone asks why the platform is shaped this way.
Requirements
A Fabric capacity (F2 or trial), Power BI Desktop, workspace admin rights.
Questions
Will this work on a trial capacity?
Yes, at the sample data volume. Production volumes need sizing, and the guide covers how to estimate it.
Lakehouse or warehouse?
The implementation is lakehouse-based, and the included decision record explains when you should choose otherwise.
Changelog
- v1.2.019 Jun 2026
Direct Lake fallback diagnostics; refreshed deployment pipelines.
- v1.1.05 Mar 2026
Incremental watermarking framework.
How this was built
Microsoft Fabric Analytics Platform
An end-to-end Fabric implementation — lakehouse layering, incremental ingestion, dataflows, semantic model and deployment pipelines — with the decisions that are hard to reverse called out.