ON DEMAND

Bringing Databricks Metric Views to Fabric & Power BI with Semantic Bridge

Watch Greg Baldini and Simon Whiteley show how the Tabular Editor Semantic Bridge integrates Databricks Metric Views with Fabric and Power BI, with live demos and Q&A.

Watch on demand
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How do you integrate Databricks Metric Views with Fabric and Power BI semantic models — while maintaining consistency, governance, and reuse?

In this webinar, we showcase the Tabular Editor Semantic Bridge together with our innovation partner, Advancing Analytics. You’ll learn how organizations are using Databricks Metric Views today — and how the Semantic Bridge enables you to import and operationalize Metric View definitions directly in Fabric and Power BI semantic models.

Greg Baldini, Core Developer at Tabular Editor, and Simon Whiteley CTO & Founder at Advancing Analytics, combine architectural perspective with hands-on demonstration, including live demos of the Bridge in action.

Content:

  • What are Metric Views and how are they used?
    An overview of Databricks Metric Views: what they are, why they matter, and how organizations are leveraging them to standardize metric definitions and improve governance.
  • What is a semantic model, really?
    A broader perspective on semantic models across platforms — their purpose, structure, and why semantic consistency is critical in modern data architectures.
  • Integration challenges across platforms
    The practical and architectural challenges of reusing Metric View definitions outside Databricks — including duplication, drift, and governance concerns.
  • Introducing the Semantic Bridge (Live Demo)
    See how the Tabular Editor Semantic Bridge enables you to import and use Databricks Metric View definitions in Fabric and Power BI semantic models. Live demonstration included.
  • Integration scenarios and enabled workflows
    Concrete examples of how the Bridge supports cross-platform workflows, improves collaboration between teams, and strengthens semantic governance.
  • Q&A