dhaneswara
1 year agoNew Member
Status:
New
Enable native Power BI integration with Databricks Metric View
Today, Power BI semantic models (datasets/DAX) work well when Power BI is the only BI tool. However, many organizations use Databricks as their lakehouse and need consistent, governed metrics across multiple BI tools, ML pipelines, and APIs. When the semantic layer lives only in Power BI:
Logic is duplicated across datasets and tools
Governance/security (RLS/CLS, masking) is fragmented
Schema changes in Databricks break reports
ML/AI pipelines cannot reuse business logic from Power BI models
Proposal: Enable native Power BI integration with Databricks Metric View
55 Comments
- onno101New Member+1 I am working with 4 companies that are requesting this feature
- AnonymousNot applicablePlease add this! It would really impact our organization.
- isaacrNew MemberThis feature actually helps my customer to adopt Power BI as they look to separate the semantic layer from the reporting layer. Tableau is already planning for integration.
- laurentpratNew MemberShift left => Semantic should be globally defined
- laurentpratNew MemberShift left => Semantic should be globally defined
- muchinski
Resolver II
I've been listening from customers that they plan to move out of Power BI, if a good integration with Metric Views is not in place soon... - AnonymousNot applicableWe're working with clients who are looking at Sigma because it doesn't have this limitation ✔️
- AnonymousNot applicablethis would really help my organisation adopt PowerBI as part of Fabric. Significant investment has been made in Unity Catalog to date, and we would want the benefits of leveraging this to drive PBI as a first-class viz tool.
- prashsub_onNew MemberRight now, I am able to push from Unity Catalog straight to Power BI a relational model if I define the Primary and Foreign Keys correctly - but the metric views don't go through as measures. It would be awesome if this is integrated, so we can continue using the UC to Power BI integration and avoid duplicating measures across multiple semantic models.
- mikelombardi35New MemberTotally agree that shift left on metric definitions and keeping it as close to the data as possible in unified semantic layer. Most orgs use multiple reporting tools, flexibility to leverage the same definition regardless of tool is paramount. Companies like dbt already embrace this and provide multiple tools to connect to a common semantic layer.
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