22-25 April 2026

Anna Hoffman

Sessions for 2026

Batteries included: SQL DevOps with SQL projects
 

The evolution of SQL projects continues with expanded IDE support and deeper integration in the Fabric platform. Using the latest in VS Code and SSMS, we’ll walk through keeping our database in source control, integrating changes made in another database, and evaluating deployment plans. Finally, we'll automate CI/CD processes with REST APIs for SQL database in Fabric and the SqlPackage CLI.

SQL database in Fabric Scenarios and Solutions
 

SQL database in Fabric is simple, autonomous, and optimized for AI - but what does that mean for you and your organization? In this session, discover how customers are using Fabric databases today, and how they can help you build innovative solutions in the age of AI, faster and easier than ever.

SQL database in Fabric: The unified database for AI apps and analytics
 

Discover how SQL database in Fabric brings transactional and analytical workloads together in one cloud-native database. In this session, learn what's new from the product team, see demos and customer stories/scenarios, and take a look at the roadmap.

SSMS 22 Unlocked: Features You’ve Been Waiting For
 

SQL Server Management Studio (SSMS) saw more updates in the last two years than a developer makes before release day. Missed them? Don't worry! We’ll showcase SSMS 22 from the installer to AI features and everything in between. Expect a whirlwind tour with demos including the new connection dialog, SQL Projects enhancements, the Query Hint tool, and editor and results grid improvements.

What's new in Mirroring SQL to Fabric: The Fast Track to Modern Data Integration & Analytics
 

As organizations navigate the era of generative AI, advanced analytics, and rapid digital transformation, the ability to extract timely business insights is more critical than ever. This session deep dives into SQL Mirroring in Microsoft Fabric that enables organizations with near real-time data replication from source SQL databases to OneLake, all without building intricate ETL processes.