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Shreyas Canchi Radhakrishna, Mayur Jain

This session is primarily about ai & agents within the Microsoft Fabric and SQL ecosystem. AI agents are becoming integral to business workflows, enabling users of all technical levels to explore and understand data more intuitively, and Microsoft Fabric’s Data Agents are at the forefront of this transformation. In this tutorial, you’ll dive into how Fabric empowers you to build, configure, and optimize a Data Agent. You’ll learn best practices for curating high-quality data inputs, configuring agents, and leveraging rich features to turn raw data into actionable insights. *Please note that this workshop is hands-on and requires attendees to bring a laptop to participate.

Nellie Gustafsson, Markus Weimer

This session is primarily about ai & agents within the Microsoft Fabric and SQL ecosystem. This session will cover how Fabric brings AI to your data using interoperable Data Agents that work across the AI ecosystem to unlock deeper insights. You’ll also learn how AI-powered data engineering and data science capabilities help teams create intelligent, enterprise-ready solutions.

Misha Desai, Amir Jafari

This session is primarily about ai & agents within the Microsoft Fabric and SQL ecosystem. Learn how to build and deploy smarter data agents in Fabric. We’ll show how to add richer context, connect new data sources, and use the latest intelligent capabilities. You’ll also see how to enable your agent in MCP, Teams, M365, Foundry, and more—making insights available to users wherever they work.

Bradley Ball

This session is primarily about ai & agents within the Microsoft Fabric and SQL ecosystem. Build RAG patterns in minutes. We’ll show data agents, prompts, complex queries, and connecting to Microsoft Fabric data. Explore Copilots across services—what they are, how they differ—extend data agents from Fabric to Copilot Studio, to Microsoft Teams, M365 Copilot, Microsoft Foundry, and the Python SDK. After we build this out, let's test Row Level and Column level security in our agents!

Christopher Schmidt, Brad Watts

This session is primarily about real-time & eventing within the Microsoft Fabric and SQL ecosystem. Processing millions of events while maintaining historical context and automating decisions is one of the hardest challenges in enterprise data. Eventhouse and Real-Time Intelligence solve this with proven patterns used in production today. See how organizations process events at scale, automate decisions, and combine real-time and historical data for business operations. Learn the architectures powering AI and analytics in production and patterns you can apply immediately.

Prashant G Bhoyar

This session is primarily about ai & agents within the Microsoft Fabric and SQL ecosystem. Explore Microsoft Fabric’s integrated Data Science experience across ideation, preprocessing, modeling, & deployment. Learn how to ingest and prepare data via OneLake and Lakehouse, leverage Notebooks, Data Wrangler, Spark, SynapseML, MLflow for experimentation, & operationalize predictions with batch scoring and Power BI direct integration. Also, learn to build generative AI Q&A systems using Fabric Data Agents.. Participants will receive access to Microsoft Fabric & Azure to perform the labs. *Please note that this workshop is hands-on and requires attendees to bring a laptop to participate.

Marc Lelijveld

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Fabric data agent has been available for a while, yet many implementations fall short of expectations. Without the right design, the agent may struggle to align with business context, produce inconsistent outputs, or require heavy manual intervention. In this session, learn how to design smarter, more reliable agents by fine-tuning Agent Instructions, using the Data Agent SDK and training data sources.

Dominick Raimato

This session is primarily about real-time & eventing within the Microsoft Fabric and SQL ecosystem. Event driven data architectures are an easy way to drive quick insights and value. Enter real time intelligence within Fabric. This session will allow you to have a tangible experience by manipulating data within the room. Leveraging devices, you will learn how to build your own physical proof of concept that will help you get buy in from your organization to make this part of your environment!

Rich Lamorena, Noah Mattern

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. This session will explore how the principles behind "Performance Management IQ"—an analogy inspired by Microsoft’s new "Work IQ," "Fabric IQ," and "Foundry IQ" products—can be realized using Fabric as the central data platform for AI-ready insights. Finance, operations, and HR data become harmonized in Fabric to enable powerful performance management insights for analytics, data science, and AI.

Sadiq Ahmed

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. In this fast-paced, discover how Microsoft Fabric streamlines the entire AI workflow—from data exploration to model deployment. You’ll learn how to use it for data science, train models, and generate predictions all within Fabric’s unified analytics platform. Perfect for data professionals and AI enthusiasts looking to get started with Fabric in just one hour.

Sean McGinnis

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Join Esri to see how location intelligence can revolutionize your data strategy and give your organization a competitive edge. Esri's ArcGIS technology brings interactive mapping and advanced location-based analytics to Microsoft Fabric. Discover real-world success stories and learn how organizations are using location intelligence to uncover patterns, predict trends, and make smarter decisions.

Virginia Roman, Rana Singh

This session is primarily about ai & agents within the Microsoft Fabric and SQL ecosystem. Explore how AI functions in Microsoft Fabric can enhance the way you work with data. In this session, we’ll share the latest updates, highlight new capabilities, and walk through practical examples that demonstrate how AI functions can enrich datasets, surface insights, and streamline workflows.

Andy Parkerson

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Break free from browser IDE in Fabric Python and PySpark Notebooks! Learn to install Python and Spark, create your own local lakehouse, and develop Python and PySpark Notebooks in Visual Studio, VSCode, or whatever IDE you're used to. We'll start with a clean machine and download, install and configure everything we need. We will create a feature-rich notebook, and wrap up by deploying to Fabric.

Vignesh Ganesan

This session is primarily about real-time & eventing within the Microsoft Fabric and SQL ecosystem. Most enterprises have adopted open data and AI architectures, yet continue to operate as if they are vendor-locked. This session highlights the hidden strategic and financial leverage embedded in modern architectures, showing how centralized governance can coexist with budget control and compute choice. Attendees will learn how to unlock cost efficiency, optionality, and negotiating power without re-platforming or migration.

David Mills

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Data Quality issues drain engineering time and weaken business confidence in data platforms. What if Fabric Data Agents could detect DQ issues autonomously, analyse their root cause, and guide engineers directly to a fix? This session demonstrates the full architecture with a live demo - capturing DQ signals, triggering agent-led investigations, and integrating agent outputs into ETL pipelines.

Robert Leal, Manu Huygens

This session is primarily about real-time & eventing within the Microsoft Fabric and SQL ecosystem. Discover how Microsoft Fabric enables real-time delivery optimization. Learn to ingest GPS telemetry with Eventstream, visualize truck routes on live maps, solve the Vehicle Routing Problem to minimize travel time, and use Reflex to dynamically reassign stops when deliveries fail or roads close.

Anu Venkataraman, Virginia Roman

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Join this demo by Microsoft AI and Spark experts to see how Fabric takes Spark observability to the next level! Learn how to stream Spark logs to Eventhouse using Diagnostic Emitter. See Fabric AI/ML tooling in action to detect bottlenecks, predict resource impact, and suggest code improvements to optimize performance and cost. Visualize the insights and recommendations in Real Time Dashboard.

Piotr Prussak

This session is primarily about power bi & semantic models within the Microsoft Fabric and SQL ecosystem. Learn how to connect Microsoft Fabric data agents with Copilot Studio to deliver intelligent, conversational analytics. This session covers modeling best practices, schema design, grounded responses, testing patterns, and decision guides for choosing when and how to expose semantic models and data agents to copilots.

Sandeep Pawar

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Prompt engineering is powerful but brittle. Hard to scale, harder to maintain. Learn how to build declarative AI pipelines in Microsoft Fabric to tame unstructured data and unlock insights. Discover pitfalls, tools, and techniques to optimize and deliver successful solutions

Nicholas Leonhard

This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Discover how Microsoft Fabric enables a modern Machine Learning Operation for Traditional ML. Attendees will observe a practical approach to building ML pipelines using Notebooks, Lakehouses, Pipelines, Environments, and Experiments. We'll also explore custom spark pools, data manipulation tools, and machine learning libraries.