Power BI

Sync your Power BI workspaces seamlessly with Entropy Data

Power BI is where your data turns into decisions — and, for most teams, where governance goes dark. Semantic models, reports and dashboards sit inside Fabric workspaces the rest of the data platform can't see. Entropy Data fixes that: Power BI is now a first-class, fully governed part of your data landscape.

The Microsoft Fabric integration in Entropy Data, configured to sync Power BI workspaces — The Microsoft Fabric integration discovers your Power BI workspaces and syncs them on a schedule or on demand.

A first-class integration for Power BI. Add a Microsoft Fabric integration, pick the workspaces to sync, and set it to run on a schedule or on demand. Connect once and it stays connected — a native, standing integration that keeps your catalog current, not a one-off importer you re-run by hand.

Assets visible for every type of Power BI item. Semantic models, reports, dashboards, datamarts, paginated reports, tables — plus the wider Fabric estate (Lakehouses, Warehouses, Notebooks, Pipelines and more). 45+ item types land in your catalog as governed assets, down to every table and column.

Workspaces, semantic models, reports and tables in the Entropy Data asset catalog — Workspaces, semantic models, reports and tables — the full Power BI hierarchy in the asset catalog.

Full support — future-proof. When Microsoft ships a new Fabric item type, it still shows up in your catalog instead of being silently dropped. The integration stays current with Fabric by design.

Auto-connects existing data products with existing semantic models. Already built a semantic model on the same Snowflake or Databricks table? Entropy Data matches it by structure and suggests the connection right on the output port — no duplicates, no manual mapping. Your existing analytical work is recognized, not recreated.

Entropy Data suggesting a matching Power BI semantic model on a data product output port — Entropy Data spots a matching semantic model and suggests the connection right on the output port.

Data flow visible across your whole organization. Power BI joins end-to-end lineage. The flow no longer stops at the warehouse — it runs through the semantic model and out to the report, in one connected map.

End-to-end lineage from source data products through a Power BI semantic model to a report — Power BI in end-to-end lineage — from source data products, through the semantic model, to the report.

Align your semantic layer to your Power BI semantic model

A semantic model on its own is just column names and types. Entropy Data overlays what the data contracts upstream of it already hold — descriptions, classifications, examples, key and required flags, and the Semantics that link each column to the shared business concepts it represents — so every column carries the meaning agreed at the source, traceable to the exact contract it came from. And when you put that semantic model under its own data contract, the enrichment travels with it: the generated contract arrives pre-filled with the inherited Semantics, ready to review and certify instead of write from scratch.

A Power BI semantic model column enriched from its upstream data contract — A semantic model column, enriched with the Semantics and definitions from its upstream data contract.

Put your semantic models under contract

A Power BI semantic model in Entropy Data is a first-class data product — so it can do what every data product does: go under a data contract. The contract turns the model's tables, columns and types into an explicit, versioned promise, and every team building reports on it knows exactly what they depend on and is warned before anything changes. Those are guarantees downstream consumers can count on. And because the contract is machine-readable, it can be tested automatically — schema-drift and data-quality checks run against the model, so a change inside Power BI that breaks the agreement shows up as a failed test instead of a dashboard someone finds broken on Monday.

A Power BI semantic model exposed as a data product and governed by a data contract — A Power BI semantic model exposed as a governed data product, under its own data contract.

Publish a source-aligned data product directly to Power BI

Found a governed data product you want to build your next analysis on? You don't need to hand-wire it into Power BI yourself. The Publish to Power BI feature pushes a source-aligned data product straight into a Power BI workspace as a semantic model — you pick the workspace, choose or configure the connection and its type, and Entropy Data wires up the rest from the data product's contract: the tables, the columns, the types. What lands in Power BI is a semantic model that already matches the governed data product, connected to its source and ready to use — so the only thing left for you to do is build your report.

The Publish to Power BI dialog in Entropy Data, with workspace and connection options — Publish a data product to Power BI — choose the workspace and connection, and Entropy Data creates the semantic model.

The model's logic, not just its columns

A semantic model's real value is the logic layered on top of its tables, and Entropy Data reads all of it straight from the model definition — the calculated columns and their DAX formulas, the measures (conversion rate, attributed revenue per send, click counts), and the relationships that join the tables — shown right next to the plain columns. Logic that used to live only inside Power BI is now visible, searchable and governed in your catalog.

Calculated columns, measures and relationships from a Power BI semantic model in Entropy Data — Calculated columns, DAX measures and table relationships, surfaced from the semantic model definition.