Fabric + Databricks + Power BI: Making the Integration Actually Work

Everyone talks about Fabric and Databricks together, far fewer teams make the integration work cleanly in production.

In this session, we’ll walk through real-world patterns for integrating Azure Databricks with Microsoft Fabric and Power BI, focusing on what actually scales beyond the PoC.

We’ll cover:

When Fabric should own the semantic layer vs when Databricks should

Delta Lake → Power BI Direct Lake vs import vs semantic models

Managing refresh, latency, and cost trade-offs

CI/CD patterns across Databricks, Fabric and Power BI

Governance, security, and ownership boundaries that avoid platform chaos

This isn’t a marketing story, it’s a battle tested architecture session showing what works, what breaks, and how to design for long-term success.

Audience takeaway:
Clear decision-making guidance for combining Fabric, Power BI and Databricks without duplicating platforms, teams, or cost.

Clear guidance on when to use Fabric vs Databricks vs Power BI in a production architecture Proven patterns for scaling beyond PoCs while managing performance, cost, and CI/CD Practical governance and ownership models that prevent platform sprawl and rework