Governed Business Metrics With Unity Catalog

Unity Catalog Metrics enables data teams to make better business decisions using certified metrics, defined in the lakehouse and accessible via Databricks (e.g., SQL, Notebooks, AI/BI Dashboards and AI/BI Genie spaces) and third-party BI tools (e.g., Tableau, Power BI).

Data is often spread across multiple systems and departments, leading to varying definitions of key business metrics among different teams. This inconsistency can cause confusion and misaligned reporting. By standardizing metric definitions, Unity Catalog Metrics allows data teams to work with the same semantics and underlying data, ensuring that all teams use consistent definitions. This promotes trust and reliability in the data.

Unity Catalog Metrics is built on top of your existing lakehouse resources, such as tables and files, and acts as an intermediary between your data sources and data consumers. This new Unity Catalog asset is fully governed and discoverable in Unity Catalog like any other resource and provides complete lineage visibility. With an open approach, it lets users access these metrics from all Databricks interfaces, including AI/BI Dashboards, AI/BI Genie, Databricks SQL, data science and machine learning tools like notebooks, and any third-party BI tools such as Power BI, Tableau, Looker and more. These metrics are fully SQL-addressable and support integration with third-party metrics tools such as dbt Labs, Cube and AtScale, ensuring seamless integration and comprehensive data analysis capabilities.