Zoran Rilak

SQL Copilots are reshaping how data professionals work—accelerating query development, improving user's efficiency, and enabling interaction with complex data. This session dives into the shared backend for copilots in SSMS, MSSQL in VS Code, and Fabric SQL, exploring architecture, top use cases, and showcasing real-world demos to help you maximize Copilot impact for your SQL database.

This demo-heavy session highlights the MSSQL extension for Visual Studio Code, now more robust with new AI-driven features to streamline SQL development. With GitHub Copilot, you can move faster from schema to code, generate data, explore relationships, and keep your app in sync. What’s new in connectivity for Python and other languages, enabling faster, more secure cross-platform development.

See how organizations are adopting Azure SQL Database Hyperscale for new and growing workloads. We’ll walk through real implementations—including scaling from zero to hundreds of databases— to learn what DBAs and devs learned along the way, and show demos of the tools and features that made those deployments successful.

When selecting a virtual machine to host your SQL Server workload in Azure, you need to choose a VM size that provides optimal performance and fits your organization’s budget. In this session, we will cover topics such as the different VM types that are appropriate for SQL workloads, configuring storage, and features unique to Azure that can help boost your performance without breaking the bank.

As AI becomes embedded in every application, protecting sensitive data in Azure SQL is vital. This session explores how to secure sensitive data from AI agents and design a defense-in-depth model using Azure SQL's existing security stack - modern authentication, granular access control, data protection, monitoring, auditing, and more - to confidently use Azure SQL to power AI applications.