powerbi-semantic-accelerator

Automate Power BI semantic model generation by defining model contracts and metric catalogs in YAML manifests, which the accelerator validates and converts into starter TMDL measures and DAX. This enforces a catalog-first approach to consistent model engineering.

Catalog-first semantic model engineering is the process of defining metrics, display metadata, and star-schema contracts in YAML manifests before generating TMDL or DAX. This approach ensures that semantic layers remain governed, reusable, and accurate across development cycles.

Validate new KPI requests by patching the YAML metric and display catalogs with the requested changes, then running the validation process to ensure alignment with existing star-schema contracts before generating the corresponding TMDL measure.

Yes, the accelerator requires PyYAML to parse and process the YAML manifests that define model contracts, metric catalogs, and display specifications for deploying consistent Power BI semantic layers.

Yes, YAML manifests enable governed self-service workflows by validating user-defined semantic requests against a controlled catalog before implementation, ensuring that generated DAX measures and TMDL structures adhere to enterprise governance standards.

Manage DAX measure development by maintaining metric definitions within YAML catalogs and generating TMDL programmatically, ensuring that all new measures are validated against existing star-schema contracts before deployment to prevent unmanaged model sprawl.