The data ecosystem is shifting toward openness and interoperability - and the recent Microsoft - Snowflake partnership takes this to the next level. While the “Better Together” story of Fabric and Delta Lake is well known, a new chapter begins with Fabric’s support for Apache Iceberg tables and native Snowflake integration. These capabilities unlock seamless data sharing, governance, and analytics across platforms without forcing rigid architectural choices.
In this deep-dive session, we’ll explore how to integrate Snowflake and Microsoft Fabric effectively—from Snowflake mirroring for near-real-time scenarios to metadata virtualization with Iceberg for cross-platform query and governance. You’ll learn the practical steps to configure both environments, manage security and lineage, and optimize for performance and cost. We’ll also discuss strategic considerations: when to choose mirroring vs. virtualization, how to maintain a single source of truth across OneLake and Snowflake, and what this means for your long-term data strategy.

Key takeaways:
- Understand the new interoperability features announced by Microsoft and Snowflake.
- Learn step-by-step integration patterns for Iceberg and mirroring.
- Gain actionable guidance on governance, security, and performance tuning in hybrid architectures.

Who should attend: Data Architects, Data Engineers, and IT Professionals looking to design future-proof, open data platforms that leverage the strengths of both Snowflake and Microsoft Fabric.