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
makromer
on:
Fabric Data Pipeline should be able to execute dbt...
on:
Customers should ereceive notifications for all th...
miguel
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