In this lab you'll help a coffee shop unify their operational and analytical workloads with Cosmos DB in Microsoft Fabric. You'll blend operational data with curated sources using cross-database SQL, stream and visualize real-time POS events, and create a gold layer for personalization. Finally, you'll implement reverse ETL to Cosmos for lightning-fast serving and train a lightweight Spark notebook model to deliver the right offer at the right time before your customer’s order is ready.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

In today’s AI-driven economy, data isn’t just an asset, it’s your differentiator. Join us for major announcements across Microsoft Fabric, Power BI, Azure SQL, and Azure PostgreSQL, and see how these innovations come together to deliver a unified, intelligent data foundation for AI. Experience customer success stories, live demos, and an inside look at the roadmap shaping the future of analytics, transactional workloads, and real-time insights all in one integrated experience.

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.

Discover how to supercharge analytics and AI workflows using Azure Databricks and Microsoft Fabric. This hands-on lab explores native AI/BI features in Azure Databricks, including ML-powered insights and real-time analytics. Learn multiple ways to serve data to Power BI, with a deep dive into Direct Lake mode with Fabric. Ideal for developers, data scientists, data analysts, and engineers modernizing BI with lakehouse architecture in the AI era.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Bring software-engineering discipline to your data. Learn how Microsoft Fabric integrates Git and deployment pipelines to take a branch from validation to production—fast and safe. Learn how to use parameterized deployments for tables and views, run automated checks, and avoid common pitfalls like broken shortcuts. Walk away with practical patterns to operationalize your Lakehouse with confidence and speed.

How to manage environment variables effectively in Microsoft Fabric using Variable Libraries? In this session, we will explore when to use variable libraries and when to rely on item autobinding, along with practical strategies & tips to simplify creation and management.

Thinking in terms of data products means building reusable, governed datasets that serve a clear business function. This approach turns raw data into strategic assets that deliver measurable value across the organization.

A deep-dive into Fabric Capacities concepts (bursting, smoothing, throttling) and practical capacity planning and management strategies for large, complex environments using Power BI and Microsoft Fabric. Covers best practices for capacity health, usage monitoring, scaling decisions, and offloading workloads.

So, you’ve been working with Microsoft Fabric for a while now - maybe even a few years. You know your Lakehouse from your Warehouse, your Delta from your Activator. But what else is there? This session will dive into some of the lesser known features of Fabric with the aim of bringing them into the light. We’ll cover: - Data Agent: An easy to configure chat with your data experience - Copilot in Data Pipelines: Accelerate pipeline development with AI-assisted authoring, documentation and error resolution - AI Functions: Learn how to use ai_extract, ai_classify, and ai_generate_response to bring intelligence directly into your data flows. - GraphQL API: Discover how to build modern, flexible data applications with Fabric’s GraphQL endpoint. - And more

Whether you're a seasoned Fabric user or just curious about what lies beyond the Lakehouse, this session will help you uncover the “other stuff” that makes Fabric a truly end-to-end data platform.

Hands-on session to build a real-time dashboard using Copilot in Microsoft Fabric, including creating dashboards and visualizations.

Hands-on session demonstrating how to build a real-time dashboard using Copilot in Microsoft Fabric.

Explores Copilot in Microsoft Fabric, how Copilot automates dashboard setup, generates pages for data overview and profiling, and uses KQL querysets for dynamic data visualization.

Overview of Copilot in Microsoft Fabric and its capabilities for automating dashboard setup and delivering real-time insights.

Session: When Microsoft Fabric was released, it came with Apache Spark out of the box. Spark’s ability to work with more programming languages opened up possibilities for creating data-driven and automated lakehouses. With Python Notebooks, we have a better tool for handling metadata, automation, and processing of more trivial workloads, while still having the option to use Spark Notebooks for handling more demanding processing. We will cover: The difference between Python Notebooks and a Single Node Spark cluster, and why Spark Notebooks are more costly and less performant with certain types of workloads. When to use Python Notebooks and when to use Spark Notebooks. Where to use Python Notebooks in a meta-driven Lakehouse. A brief introduction to tooling and move workload between Python Notebooks and Spark Notebooks. How to avoid overload the Lakehouse tech stack with python technologies. Costs

Unveil the data platform of the future with SQL Server 2025—guided by one of its key architects . With built-in AI for application development and advanced analytics powered by Microsoft Fabric, SQL Server 2025 empowers you to innovate—securely and confidently. This book shows you how. Author Bob Ward, Principal Architect for the Microsoft Azure Data team, shares exclusive insights drawn from over three decades at Microsoft. Having worked on every version of SQL Server since OS/2 1.1, Ward brings unmatched expertise and practical guidance to help you navigate this transformative release. Ward covers everything from setup and upgrades to advanced features in performance, high availability, and security. He also highlights what makes this the most developer-friendly release in a decade: support for JSON, RegEx, REST APIs, and event streaming. Most critically, Ward explores SQL Server 2025’s advanced, scalable AI integrations, showing you how to build AI-powered applications deeply integrated with the SQL engine—and elevate your analytics to the next level. But innovation doesn’t come at the cost of safety: this release is built on a foundation of enterprise-grade security, helping you adopt AI safely and responsibly. You control which models to use, how they interact with your data, and where they run—from ground to cloud, or integrated with Microsoft Fabric. With built-in features like Row-Level Security (RLS), Transparent Data Encryption (TDE), Dynamic Data Masking, and SQL Server Auditing, your data remains protected at every layer. The AI age is here. Make sure your SQL Server databases are ready—and built for secure, scalable innovation . What You Will Learn [if !supportLists] · [endif]Grasp the fundamentals of AI to leverage AI with your data, using the industry-proven security and scale of SQL Server [if !supportLists] · [endif]Utilize AI models of your choice, services, and frameworks to build new AI applications [if !supportLists] · [endif]Explore new developer features such as JSON, Regular Expressions, REST API, and Change Event Streaming [if !supportLists] · [endif]Discover SQL Server 2025's powerful new engine capabilities to increase application concurrency [if !supportLists] · [endif]Examine new high availability features to enhance uptime and diagnose complex HADR configurations [if !supportLists] · Use new query processing capabilities to extend the performance of your application [if !supportLists] · [endif]Connect SQL Server to Azure with Arc for advanced management and security capabilities [if !supportLists] · [endif]Secure and govern your data using Microsoft Entra [if !supportLists] · [endif]Achieve near-real-time analytics with the unified data platform Microsoft Fabric [if !supportLists] · [endif]Integrate AI capabilities with SQL Server for enterprise AI [if !supportLists] · [endif]Leverage new tools such as SQL Server Management Studio and Copilot experiences to assist your SQL Server journey Who This Book Is For The SQL Server community, including DBAs, architects, and developers eager to stay ahead with the latest advancements in SQL Server 2025, and those interested in the intersection of AI and data, particularly how artificial intelligence (AI) can be seamlessly integrated with SQL Server to unlock deeper insights and smarter solutions

Hands-On session demonstrating Fabric CLI basics for managing resources.

Hands-on session exploring the Fabric CLI for managing resources efficiently.

Overview of capabilities and benefits of Microsoft Fabric and Terraform.