Databricks lets teams publish Unity Catalog metric views to Power BI

Databricks introduced Publish to Power BI, which pushes Unity Catalog metric views into Power BI semantic models. Each metric view arrives as a table in the model, with its dimensions as columns and its measures converted into DAX measures, while Power BI queries the metric view itself through DirectQuery so joins and calculations run in Databricks. Teams can publish on demand from Catalog Explorer, or add a Power BI task to a Lakeflow Job so semantic models republish when upstream tables refresh. Because queries go through DirectQuery, Unity Catalog access controls, row filters and column masks apply to Power BI reports, and the same definitions feed AI/BI dashboards and Genie. Supported measures include standard aggregations, distinct counts, ratios, filtered and composed measures.