Jerry Nixon

Learn how a Data API can positively impact your database performance, your security profile, and your source code.

Strategies for enterprises managing dataflows across boundaries and for data teams managing change over time.

You build apps. We handle data. It's a full-stack friendship. From mobile startups to enterprise systems, SQL has always had the developer's back. But this isn’t your grandfather’s database. Recent investments have transformed our dev story into a modern marvel. Need JSON? No problem. REST endpoints? Already there. An improved driver? We've got it. Want to skip the driver? Done. Vector support? Of course. Database designer? You bet. Schema compare? Baked in. SQL for free? Yes (you read that right). In this session, we’ll show you everything new: from APIs to AI, from frameworks to functions. Azure SQL has become the tool developers didn’t know they needed, and now can’t build without.

Many developers are seeking to develop new AI applications using their data without compromising security or performance. Microsoft SQL has the deployment choices you need to build Enterprise ready applications using the same consistent powerful database engine you have come to trust with security, privacy, and scale. You can develop AI applications using vector support built into the SQL engine including interfaces with AI models of your choice ground to cloud and powerful searches with DiskANN indexes. Whether you are using SQL Server 2025 on-premises, SQL database in Fabric, or Azure SQL in the cloud, you have the same engine capabilities, same T-SQL interfaces, and same integration with popular AI frameworks like LangChain and Semantic Kernel. Develop these applications in the environment that meets your needs including Copilot experiences to help you end-to-end.

Explore best practices in enterprise data engineering, focusing on Schema Management, Standards Enforcement, Database Testing, & Automated Deployment. Navigate Microsoft's complex options to achieve change management, observability, & quality at scale. Goals: Master schema control, ensure engineering quality, & streamline delivery through automation.

Let's discuss the new feature added for support developers in their day-to-day work: we'll go over what we released recently, what is in the work and what is planned. From the new JSON Data Type, T-SQL string operations, Data API builder, External REST calls, Change Data Capture, AI capabilities and more. We'll discuss where the development space is going and what we should to do support the evolution of development and developers into whatever the future holds. If you are a data developer, make sure to come to this session!

Explore the intricacies of DevOps practices tailored for Azure SQL in this demo-heavy session, highlighting both the inner and outer development loops. Embark on a journey through the essential principles of Database version control, Immutable Database Infrastructure, Schema Management, Testing, and Seamless CI/CD. Bid farewell to the notorious "But it worked on my computer!" dilemma by embracing robust DevOps practices, fostering trust and efficiency across your development cycles—from local environments to the expansive cloud. Navigate the array of Azure SQL tools for DevOps practices with potent command-line tools, and uncover seamless integration with industry-leading third-party tools such as GitHub Actions, Codespaces, Terraform, and extensions for popular IDEs like VS Code and Azure Data Studio.

Deep Dive into Data Warehousing in Microsoft Fabric. Explore the intricacies of Microsoft Fabric Data Warehouse, unraveling its capabilities and demonstrating effective strategies for its utilization.

Come meet some of the team for all things SQL Developers. Questions and comments welcome, please stop by and let us know what has and hasn't worked well for you recently.