Ground to Cloud to Fabric: The State of Microsoft SQL
Anna Hoffman explains how Microsoft SQL spans on-premises, Azure, and Microsoft Fabric, highlighting what’s new in the engine, developer tooling, and migration options. She also demonstrates AI-assisted performance troubleshooting and scalable vector search, and shows how Azure Arc/Azure Local and Foundry-based experiences can support modern data-driven apps.
Overview
The session focuses on how Microsoft SQL can be used across environments—on-premises, Azure, and Microsoft Fabric—while keeping familiar SQL skills and tools relevant.
What’s covered
- How Microsoft SQL connects across:
- On-premises deployments
- Azure
- Microsoft Fabric
- Advances in the database engine and developer experience
- Migration tooling and options for modernizing existing applications
- AI capabilities applied to database operations and troubleshooting
Demonstrations highlighted
- Automatic index compaction
- AI-assisted performance troubleshooting
- Vector search designed to scale with application demand
Platform and ecosystem components mentioned
- Fabric Database Hub
- Azure Arc (for hybrid/edge management)
- Azure Local
- A research-agent experience built with Microsoft Foundry / Azure AI Foundry, positioned around using operational data as a foundation for intelligent applications