Participate in a live AMA with SQL Leadership following all the excitement from Microsoft Ignite 2025! This session invites attendees to submit questions ahead of time (highly recommended). Submit questions at https://aka.ms/SQL-AMA. Attendees can upvote questions to help prioritize topics most important to the community.

Unlock the future of data productivity with a hands-on exploration of AI-powered Copilots! We’ll dive into GitHub Copilot in SQL Server Management Studio (SSMS), Microsoft Copilot in Azure and Copilot for SQL Databases in Microsoft Fabric. With real-world demos and best practice tips along the way, you’ll leave ready to transform how you interact with SQL, anywhere.

Discover how SQL in Fabric brings transactional and analytical workloads together in one cloud-native database. In this session, we’ll show how developers and data teams can simplify AI-driven application development with near real-time insights and built-in AI, seamless OneLake integration, and end-to-end analytics—all in a single, unified experience.

Build AI apps that run securely and scale with your needs with Azure SQL Database Hyperscale. We’ll cover native vector indexes for semantic search, read scale out for low latency RAG, and secure model invocation with Microsoft Foundry, using the model of your choice, from T SQL. Hear directly from global technology company Hexagon and investment firm BlackRock who will join us to share their experience along with best practices, demos and more!

This demo-heavy session highlights the enhanced MSSQL extension for Visual Studio Code, now more robust than ever with new AI-driven enhancements to streamline your SQL development experience. With GitHub Copilot, you can move faster from schema to code, generate sample data, explore relationships, and help your app and backend stay in sync. With our latest mssql-python driver, you can develop with ease, security, and performance, across SQL Server, Azure SQL and SQL database in Fabric.

Introducing SQL database in Fabric: Discover the future of data management and unlock new scenarios that drive your business forward. Join us as we showcase the first fully SaaS database experience in Microsoft Fabric. Experience the simplicity of an integrated development environment that empowers you to quickly harness the power of an AI-driven analytics platform. Learn how to access both transactional and analytical data in one place without compromising application performance.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Panos/Panagiotis Antonopoulos * Anna Hoffman * Asad Khan

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

BRK196 | English (US) | Data

MSIgnite

The United States Patent and Trademark Office has improved the quality and efficiency of their patent and trademark examination process by implementing AI-driven technologies. They partnered with Accenture Federal and Google Cloud to establish a scaled system for Patent Search in record time. Learn how the traditional examiner workflows were augmented with new capabilities for faster and more relevant searches. Please note: seating is limited and on a first-come, first served basis; standing areas are available. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

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Here is the expert-level, insider guidance you need on using Azure SQL Database as your back-end data store. This book highlights best practices in everything ranging from full-stack projects to mobile applications to critical, back-end APIs. The book provides instruction on accessing your data from any language and platform. And you learn how to push processing-intensive work into the database engine to be near the data and avoid undue networking traffic. Azure SQL is explained from a developer's point of view, helping you master its feature set and create applications that perform well and delight users. Core to the book is showing you how Azure SQL Database provides relational and post-relational support so that any workload can be managed with easy accessibility from any platform and any language. You will learn about features ranging from lock-free tables to columnstore indexes, and about support for data formats ranging from JSON and key-values to the nodes and edges in the graph database paradigm. Reading this book prepares you to deal with almost all data management challenges, allowing you to create lean and specialized solutions having the elasticity and scalability that are needed in the modern world. What You Will Learn Master Azure SQL Database in your development projects from design to the CI/CD pipeline Access your data from any programming language and platform Combine key-value, JSON, and relational data in the same database Push data-intensive compute work into the database for improved efficiency Delight your customers by detecting and improving poorly performing queries Enhance performance through features such as columnstore indexes and lock-free tables Build confidence in your mastery of Azure SQL Database's feature set Who This Book Is For Developers of applications and APIs that benefit from cloud database support, developers who wish to master their tools (including Azure SQL Database, and those who want their applications to be known for speedy performance and the elegance of their code

Ivanti leverages SQL Server 2025’s AI capabilities to transform service management through with agentic AI. This next-generation approach simplifies IT operations, driving efficiency, productivity, and employee satisfaction while enabling continuous innovation across the enterprise.