Monday 9:00 AM - 5:00 PM · Room 345-346

Microsoft Fabric AI, Copilots, Data Agents, Fabric IQ, & Extending Data Agents Beyond Fabric

Microsoft Fabric has AI Functions, Copilots, Data Agents, Fabric IQ, and the capability to extend Data Agents via Microsoft Foundry, Copilot Studio, & Python Code.

In this session we will answer the following questions, when should you use Fabric IQ? What is the difference between a Copilot and a Data Agent? How do you extend them beyond Microsoft Fabric? When should you use Microsoft Foundry vs. Copilot Studio vs. Python Code vs. publishing directly to M365? How does advanced security like Row Level Security or Column Level Security work with Data Agents?

Join the team from Microsoft for a full day of learning and discovery. The goal of this session is to provide you with the knowledge to implement these technologies and understand the decisions behind why, when, and how you should utilize them.

Monday 9:00 AM - 5:00 PM · Room 347-348

Microsoft Fabric - A Whole New World for Power BI

Microsoft Fabric is the Brave New World of Microsoft Analytics. Fabric brings together not only Power BI, but all sorts of tools from the Microsoft data platform, including Data Factory, Synapse Data Warehouse, Azure Data Explorer, Spark, Azure Data Lake Gen 2, and more. It also introduces new capabilities such as OneLake, Lake Houses, Databases, and Real Time Dashboards. The choices of tools have totally exploded.

This all day tutorial will explore all of the different components of Microsoft Fabric, and what they bring to the table, particularly from the perspective of a Power BI user. We will walk through its architecture, and the user interface working through a number of examples as we go. Finally, we will cover off how it is licensed, and a whole host of other miscellaneous topics including source control, and integration with other systems. .

This tutorial consists of a mix of theory and demonstrations, with emphasis on the demonstrations using real world data. It is designed for the beginner and the novice user, but even advanced users will find some nuggets of new information. Fabric is a fast moving, and ever-changing product, and this tutorial is constantly updated to reflect that.

Above all we encourage questions and dialog. We can't answer your questions if you don't bring them, so please come armed! Feel free to even bring us data and we can work through any reporting challenges that you may have. If you want to get exposed to Microsoft Fabric, this is certainly a session for you.

Tuesday 9:00 AM - 5:00 PM · Room 345-346

Hands-On Workshop: Data Agents, Data Science & Machine Learning with Microsoft Fabric

Explore Microsoft Fabric’s Data Agents, AI Functions, Copilot, and unified Data Science, Machine Learning, and Generative AI capabilities through hands-on labs.

Learn to ingest and prepare data using OneLake, Lakehouse, Dataflows Gen2, Notebooks, Data Wrangler, and Spark. Build and manage machine learning models with SynapseML and MLflow, operationalize predictions through batch scoring and real-time endpoints, and integrate results with Power BI.

Participants will also analyze structured and unstructured data, build natural-language Q&A experiences, and create context-aware AI solutions using Fabric Data Agents and Fabric IQ.

Access to Microsoft Fabric and Azure resources will be provided.

Learning Objectives:

• Build end-to-end Data Science and Machine Learning workflows in Microsoft Fabric.
• Operationalize models and integrate predictions with Power BI and Fabric AI Functions.
• Create intelligent, context-aware Q&A solutions using Fabric Data Agents and Fabric IQ.

Attendee Requirement: This is a hands-on workshop. Participants must bring a laptop.

*Please note that this workshop is hands-on and requires attendees to bring a laptop to participate.

Tuesday 9:00 AM - 12:30 PM · Room 320-321

Become the Data Transformation Hero Using Microsoft Fabric!

As a data engineer you are responsible for transforming the data from source to a data model, ready for further analysis. A crucial part of the analytical solution, but still to some degree overlooked as the visual presentation of data is easier to consume for end users. Microsoft Fabric closes the gap between different data roles and enables increased visibility of the work we do with data across roles. But how does it work in real life?

In this session, you will learn how you can use Microsoft Fabric as a data engineer, both on a beginner and experienced level. We will discuss which tools to using moving from low code to heavy coding. We will take a look at how you can utilize pipelines for ingesting data and orchestration of your ETLs and how you can create a secure and robust solution.

There are a lot of decisions to be made as we move through the different examples and tools, so we will of course cover the elements you should consider for your solution.

Tuesday 1:30 PM - 5:00 PM · Room 320-321

Moving from Dataflows to Notebooks

The session shows an analyst how to use notebooks to perform the same actions as Dataflow Gen2. Looking at 4 areas: source, transformation, cleansing, and destination, examples include append/merge query to dataframe joins, text replace functionality, split and concatenate columns, as well as pivot/unpivot, data type changes, and removing duplicates. We will finish off with engine optimizations.

Wednesday 10:20 AM - 11:30 AM · Room 343-344

Unraveling Microsoft Fabric for the Power BI User

Are you a Power BI developer? Have you heard about Microsoft Fabric? What are all of these new "Data" experiences - Data Factory, Data Engineering, Data Science, Data Warehousing, oh my and other items such as Activator and Real-Time Intelligence? Wow! Where did Power BI go?

In this session we will go under the covers and unravel the Microsoft Fabric to help educate Power BI developers to provide an overview of the new capabilities available and provide some guidance on how to get started and skilled up on using experiences like Dataflows Gen2 and Direct Lake mode for Power BI.

Come and learn about Microsoft Fabric and looking forward to answering any questions you might have as well as hear your feedback!

Wednesday 10:20 AM - 11:30 AM · Room 320-321

Lessons from the Field: Building AI-Ready Microsoft Data Estates

Many organizations are already using Microsoft Fabric, Power BI, SQL Server, Azure data services, and cloud data platforms. The challenge now is not whether these tools can work. It is how to turn a fragmented, fast-changing data estate into a trusted foundation for analytics, automation, Copilot, and AI agents.

Across client engagements, we see organizations moving toward the same desired end state: governed data, reliable pipelines, trusted semantic models, clearer ownership, production-ready operations, and business teams that can act on the information in front of them.

The path there is rarely clean. It often involves legacy SQL Server environments, Power BI sprawl, inconsistent definitions, disconnected source systems, migration decisions, platform overlap, and governance models that have not caught up with AI.

In this session, we will share lessons from the field on what actually breaks, what teams should fix first, and how technical teams can move from platform adoption to durable business value.

You will learn:

• How organizations are rationalizing SQL Server, Fabric, Power BI, and cloud data platforms into a more coherent data estate • What separates initial Fabric adoption from a production-ready operating model • Why trusted semantic models, data quality, and ownership matter more as Copilot and AI agents enter the picture • Where modernization efforts commonly break down across migrations, integrations, governance, and operational support • How AI changes the stakes by exposing weak definitions, poor access controls, and fragile data foundations • Practical lessons for moving from fragmented reporting and platform pilots toward governed, AI-ready analytics

This session is designed for data architects, DBAs, Fabric and Power BI practitioners, analytics leaders, and technical decision makers responsible for modernizing Microsoft data environments while preparing for AI-driven work.

Wednesday 11:40 AM - 12:50 PM · Room 343-344

Fabric Admin 101: Settings, Tools, and Monitoring That Keep the Lights On and the Bills Down

Being a Fabric tenant admin can feel like flying blind until something breaks and capacity disappears faster than your budget. This session gives you the practical foundation to stay ahead of the chaos. We will walk through the tenant settings that actually matter, cover capacity management fundamentals so you are never caught off guard by overages, and explore the built-in admin tools Fabric provides out of the box. I will also share free community tools with an honest look at their pros and cons. Then we go deeper: learn how to leverage notebooks to set your own limits on dataflow and dataset refresh times to protect your capacity before problems start. We will close with a look at a custom monitoring tool built to surface those problem children before they take down your tenant. Whether you are a brand new Fabric admin or have been figuring it out on the fly, you will leave with real tools, real techniques, and a plan to keep your tenant healthy without breaking the bank.

Wednesday 11:40 AM - 12:50 PM · Room 320-321

Take Off on Your Data Transformation Journey with Microsoft Fabric

As a data engineer you are responsible for transforming the data from source to a data model ready for further analysis. A crucial part of the analytical solution, but still to some degree overlooked as the visual presentation of data is easier to consume for the end user. Microsoft Fabric closes the gap between different data roles and enables increased visibility of the work we do with data across roles.

In this session, you will learn how you can use Microsoft Fabric as a data engineer, how you can utilize pipelines and notebooks for ingesting and transforming data, making your data models more easily accessible to your data consumers. In this session we will go through some decision factors you should consider for your solution in Microsoft Fabric.

Let’s board and embark on the journey together.

Wednesday 11:40 AM - 12:50 PM · Room 335-336

AI Driven Data Engineering with Spec Driven Development

Explore how Spec-Driven Development is transforming data engineering by making specifications the foundation of the Software Development Life Cycle (SDLC). This session demonstrates how business requirements, user stories, architecture decisions, and acceptance criteria can be captured as structured specifications that guide development from concept to production.

Through a customer case study and live demo, attendees will see how specifications drive solution design, AI-assisted code generation, testing, documentation, deployment, and governance. The session will also showcase how Harness enables orchestration of AI-powered development workflows and how QE/Eval frameworks establish automated testing, validation, and quality guardrails for AI-generated outputs.

Participants will gain practical insights into improving engineering productivity, accelerating delivery, reducing risk, and ensuring enterprise-grade quality through specification-first, AI-driven development practices.

Wednesday 1:20 PM - 1:40 PM · Solution Studio

How AI-Driven Master Data Management with Microsoft Fabric Transforms Business Data & Use Cases

Organizations often struggle with duplicated, inconsistent master data spread across ERP, CRM, and legacy systems. This session explains how AI-driven Master Data Management (MDM)—built on Microsoft Fabric and Azure OpenAI—helps businesses create a trusted, governed single source of truth at scale.

Attendees will learn how modern MDM unifies and standardizes critical business entities such as customers, vendors, and products, ensuring analytics, reporting, and operations are powered by reliable data. Instead of manual data cleanup, AI continuously monitors data quality, detects anomalies, identifies duplicates, and recommends corrections using intelligent confidence scoring.

The session provides a business-level view of how the solution works: Microsoft Fabric consolidates data across systems; AI-powered match-and-merge capabilities resolve duplicate records; Azure OpenAI enriches metadata with clear, business-friendly descriptions; and configurable approval workflows ensure all changes are reviewed and governed.

Security and compliance are built in through role-based access controls, full audit trails, external address validation, and governance workflows aligned with enterprise standards.

Business leaders will see how AI-enabled MDM reduces operational risk, improves compliance, accelerates decision-making, and transforms master data into a scalable, enterprise-grade asset—without requiring users to be technical experts.

Wednesday 1:50 PM - 3:00 PM · Room 343-344

Intro to PySpark in Microsoft Fabric

With all of the engineering features in Microsoft Fabric, which medium should you use to move and transform data? Low-code data flows and pipelines? Good old relational SQL? What about this newfangled PySpark everyone is buzzing about?

If the last option piques your curiosity and you haven't tried it, this is the session for you. I'll cover basic Python principles that will make even complicated Python easy to read. Then I will explain important topics to understand when managing your Spark environment. Finally, I'll showcase Fabric features and community content that can support your next steps in learning to implement PySpark in Fabric.

Wednesday 1:50 PM - 3:00 PM · Room 320-321

Microsoft Fabric, Power BI Writeback to SQL, & Sentiment Analysis with Microsoft Foundry

Power BI writeback is technically called Translytical Task Flows. However, nobody knows what Translytical Task Flows are.... which is Power BI writeback. This functionality allows you to turn your Power BI reports into Apps.

How does this work? We use User Data Functions as the pass through mechanism to update data in a database and Direct Query or Direct Lake Semantic Models to update the reports.

In this session we will use a real-world scenario where we take customer reviews, score them for sentiment using a user data function, display them in a Power BI report and allow our Power BI users who own the products being reviewed to enter feedback for the leadership team of their company.

This will be an end-to-end demo so you can walk away with a full understanding of how to implement this for your business.

Wednesday 3:10 PM - 3:30 PM · Insight Studio

Accelerating Migration to Microsoft Fabric with MigrateFAST and Microsoft Funding Programs

Modernizing analytics platforms can be complex, costly, and time-consuming. In this 20-minute session, discover how MigrateFAST, MAQ Software’s Fabric migration accelerator, helps organizations accelerate their journey to Microsoft Fabric through an automation-first approach.

Through a customer case study and live demo, attendees will see how MigrateFAST streamlines migration across three critical modernization paths:

Data Integration – Modernizing ETL/ELT pipelines and data movement workloads

Analytics – Migrating data engineering, data science, and advanced analytics workloads

Reporting – Transitioning BI and reporting assets to a unified Fabric ecosystem

The session will highlight how organizations can reduce migration effort, improve accuracy, minimize risk, and accelerate time-to-value while adopting a scalable, future-ready data platform on Microsoft Fabric and leverage Microsoft funding programs to reduce migration costs.

Wednesday 3:10 PM - 3:30 PM · Collab Studio

Start with the Data Estate, Finish with a Unified Platform

Data challenges begin long before analytics or AI. A fragmented data estate spanning multiple databases, platforms, and technologies creates barriers to consistency, scalability, and trust. Learn how organizations address this challenge in two phases. First, by migrating and aligning their data estate to Azure, reducing fragmentation and improving manageability across SQL Server, Oracle, PostgreSQL, and other environments. Second, by modernizing their data platform using Microsoft Fabric to unify data, streamline analytics, and improve reporting. Through real-world examples, we’ll discuss: • How to assess and modernize a diverse data estate • What changes once data is better aligned to Azure • Lessons learned from enterprise data estate modernization

Wednesday 3:50 PM - 5:00 PM · Room 437-439

Ins and Outs of Fabric Monitoring

Have you ever asked the question 'What is Fabric doing with resources and how do I measure these things?" Well, this session is for you. We are first going to explain the current way to measure usage in the Fabric environment. Then, we will proceed to use the monitoring app provided by Microsoft. We will move on to external queries that can be run to help see where these resources are being used. By the time you finish this session, you are going to want to immediately login to your system and try these options. Do not worry, we will cover the data engineering as well as the Power BI resources. Goals: Learn what Capacity Units (CUs) are in a capacity Monitor CUs with Microsoft tools Use external tools to measure resource consumption

Wednesday 3:50 PM - 5:00 PM · Room 343-344

Data Exploration in the Fabric Eventhouse with KQL

The Fabric Eventhouse is a powerful data store that classical T-SQL developers may miss out on. Using the Kusto Query Language (KQL), we can quickly and efficiently parse and slice data, and operate over time series. This talk will familiarize you with loading data into an Eventhouse and using KQL to write meaningful queries against the data.

Wednesday 3:50 PM - 5:00 PM · Room 320-321

Building a Multi‑Agent Banking App with Microsoft Fabric

Agentic applications are rapidly moving from prototypes to real production workloads, but the real challenge begins after these solutions are deployed: Proactive and continuous optimization and linking AI usage to business value! In this session, we walk through a production‑grade, open‑source reference implementation of a multi‑agent banking application built on Microsoft Fabric (https://aka.ms/AgenticAppFabric), focusing on what it actually takes to run agentic systems responsibly at scale. Using a coordinator‑and‑specialists pattern, the app demonstrates how agents perform transactional operations, RAG‑based support, and generative UI personalization—while capturing rich operational telemetry such as agent routing, tool usage, latency, tokens, and safety signals as first‑class data. Attendees will see how Fabric’s unified data plane (SQL, Cosmos DB, Eventstream, Eventhouse, Lakehouse, semantic models, notebooks, Data Agents, and Power BI) enables end‑to‑end observability, governance, evaluation, and analytics directly alongside the agent runtime. The session connects agent behavior to measurable business outcomes, showing how teams can debug failures, monitor content safety in real time, evaluate response quality with LLM‑as‑judge workflows, and continuously improve agent performance. While the demo uses a banking scenario, the architectural patterns generalize to any domain where agents act on operational systems and must be observable, auditable, and improvable in production.

Wednesday 3:50 PM - 5:00 PM · Room 337-339

Iceberg Everywhere: Federating Your Data Estate with OneLake and the Iceberg REST Catalog

Enterprise data is fragmented, and AI pays the price. See how Microsoft OneLake makes Apache Iceberg a first-class citizen, letting Fabric, Databricks, Snowflake, Clickhouse, Spark, and Trino read and write the same tables with no copies or ETL. We'll dive into catalog federation via the Iceberg REST spec, showing how to unify access across data platforms, and how an open, unified lakehouse becomes the foundation for higher-quality AI, agent grounding, and analytics copilots on fresh, governed data.

Thursday 8:30 AM - 9:40 AM · Ballroom 2

Keynote: From Databases to Agents: Building the Data Foundation for the Agentic Enterprise

AI is redefining enterprise applications, and the organizations that lead this shift will be built on the strongest data foundations. Agents require transactional data, real-time context, persistent memory, analytics, governance, and enterprise-grade security across a unified platform. In this keynote, Shireesh Thota, CVP of Azure Databases, will walk you through how Microsoft is building the data foundation for the agentic enterprise. Azure SQL and Cosmos DB power operational intelligence, Azure Managed Redis provides low-latency memory and context, and Horizon DB delivers a cloud native managed PostgreSQL platform for modern applications. Microsoft Fabric unifies the enterprise data estate through OneLake, bringing together data, analytics, real time, and business intelligence all through a unified security and governance model and Rayfin accelerates intelligent application development with backend-as-a-service capabilities for data access, orchestration, and integration. Join us to learn how leading top Fortune 100 companies are turning their data into intelligence and building autonomous systems that reason, act, and drive business outcomes at scale.

Thursday 10:20 AM - 11:30 AM · Room 335-336

Practical Magic: Power BI secrets for development & adoption that scale from start-ups to Microsoft

This session organizes hard-won lessons into two lenses. Adoption covers the technical decisions that determine whether users embrace what you build: performance, agility, reliability, and write-back. Scalability covers the back-end architecture that lets it grow without breaking: security, master data, and refresh cadence. For each area, we use a problem-and-solution framework grounded in real deployments, including the post-launch surprises nobody warns you about, from user friction and silent data drift to entity inclusion after an acquisition.

Thursday 11:40 AM - 12:50 PM · Room 343-344

Decoding Fabric Licensing

Embark on a journey through the layered landscape of Microsoft Fabric licensing, where cryptic SKUs, hidden costs, and mysterious capacities await. This session sheds light on the most misunderstood parts of the licensing maze, using real-world examples to bring clarity to the chaos. Whether you’re just starting to explore or deep into discovery, you’ll leave with the map you need to make confident, cost-savvy decisions.

Attendees of this session will leave knowing how to:

• Distinguish between Power BI Pro, Premium Per User (PPU), and Fabric SKUs
• Choose between Pay-As-You-Go and Reserved pricing (and when it matters)
• Estimate licensing costs with real-world scenarios and user personas
• Match capacity sizes (F SKUs) to your org’s workloads and needs
• Avoid common budgeting pitfalls and over-provisioning traps

Thursday 2:00 PM - 3:10 PM · Room 343-344

Fabric and Copilot Studio - A Perfect Pair

Everything is all about agents, but how do we actually pull them all together? This session focuses on integrating Microsoft Fabric Agents with Copilot Studio to create meaningful solutions that drive impact with your organization. When we are finished, you understand how to configure and deploy a Fabric Agent and extend it into Copilot Studio.

Thursday 2:00 PM - 3:10 PM · Room 320-321

Azure Databricks vs. Microsoft Fabric - What Really is the Difference?

If you've ever wondered, 'Am I a brickhead? Am I a fabricator? How do I choose?' then we are here to help.

This session will explore the nuances of Azure Databricks and Microsoft Fabric, sprinkled with a touch of Azure magic! We will guide you through similarities, differences, and standout features from both solution.

But do you have to choose sides, or can you build your platform using datafabricks?

Get ready for a session packed with key insights drawn from firsthand experiences!

Thursday 2:00 PM - 3:10 PM · Room 335-336

Database Agents The Next Evolution of Managing SQL at Scale

Managing databases has always required a balance between performance reliability and operational overhead. As environments expand across SQL Server PostgreSQL and cloud platforms that balance becomes increasingly difficult to maintain.

In this session we explore how database agents powered by modern AI are changing the way teams monitor optimize and operate their data platforms. Instead of relying on reactive scripts and manual intervention agents introduce a new model built on continuous context aware assistance that can surface issues recommend actions and even automate routine tasks.

We will walk through real world scenarios showing how agents can support performance tuning cost management and operational visibility across heterogeneous environments. Just as important we will discuss where agents provide meaningful value and where they do not.

You will leave with a practical understanding of how to think about agents in your architecture and how to adopt them responsibly without introducing unnecessary complexity or risk. introducing new complexity or risk.g work, and shift effort from grunt tasks to real design and logic, the MCP Server is the upgrade you’ve been waiting for.

Thursday 4:00 PM - 5:10 PM · Room 445-446

Microsoft Fabric: Data Pipelines Error Handling 101

On Success, On Error, On Completion, On Skip... wait what is the difference between any of those? Why do we have 4 options? When should I use each of them? How do we log information, how do we process errors, how do we perform error handling or retry logic? Can I reuse my logic and how do I do that? We always get the same questions in Data Pipelines and in this session, we will cover the end-to-end process that is the logical flow of Data Pipelines and make sure you understand Error Handling through and through!

Thursday 4:00 PM - 5:10 PM · Room 343-344

Fabric Capacities: Essentials for Smarter Operations

With enterprises moving from Power BI Premium capacities to Fabric capacities, users and admins are having many questions and doubts. This session aims to provide a comprehensive understanding of Capacities, focusing on key fundamental concepts like bursting, smoothing, auto-scale, Capacity units, throttling, overage and monitoring. Attendees will gain insights into how capacities are allocated, utilized, and monitored, ensuring optimal performance and cost-efficiency. • Understand the fundamental concepts of capacities and their importance in managing workloads. • Learn effective techniques for provisioning, monitoring, and optimizing capacity units. • Explore strategies for handling workload spikes and ensuring smooth performance. Target Audience: This is a basic to intermediate level session designed for IT professionals, program managers, and anyone involved in managing and optimizing capacities. Whether you are new to Fabric Capacities or looking to deepen your understanding of capacities, this session will provide valuable insights and practical knowledge.

Friday 9:00 AM - 10:10 AM · Room 340-342

Microsoft Fabric: Copilots & Data Agents

AI is here to stay and in Microsoft Fabric we have some things you need to know! You can build a RAG, retrieval augmentation generation, pattern in minutes using Data Agents. Include prompts, complex queries to guide complex questions, and choose from multiple data sources such as Semantic Models, Lakehouses, Data Warehouses, or KQL Databases. Next up we have a copilot for every service! What is a copilot, what does it do, and how do they differentiate between one another. In this demo heavy session, we will showcase the possibilities of how AI in Microsoft Fabric can empower you to do more!

Friday 9:00 AM - 10:10 AM · Room 343-344

Hey Real-Time Intelligence - Should I Go Outside Today?

I love it when people tell me they need real time data. More times than not, this is not really true. However, many of us work with processes and systems that could truly benefit from the value of having data being shared in real time. Enter Real-Time Intelligence – the solution that will help you harness the value of the real time data being produced within your organization and make it actionable!

If you have people pestering you for data that must be received in real time, then this session is for you! We will walk through the basics of building out a weather prediction solution that leverages the Real-Time Intelligence solution within Microsoft Fabric. We will go through the process to collect weather data on a Raspberry Pi, send it to Fabric via Azure IoT Hub, and connect to the data in Microsoft Fabric. From there, we will transform, predict, and alert you on whether or not you should go outside for today! While sample connectors are cool, it will be fun to see us manipulate our sensors in the room and see predictions in real time!

At the end of this session, you will feel comfortable with understanding the end to end process of integrating your IoT connected devices into Fabric’s Real-Time Intelligence hub, see a prediction, and take an action as a result!

Friday 9:00 AM - 10:10 AM · Room 320-321

Become the Data Pipeline Guru in Your Organization

You have just begun your Azure journey and want to create your first pipeline and ETL-process in your new insights and analysis data platform in ADF or Microsoft Fabric.

This session will take you through how you can set up a basic pipeline and make it more sophisticated as your competence increases. I will walk you through static, dynamic and semi-dynamic pipelines making it easier for you to choose which is a better fit for your solution. And finally, I will show you how you can set up automated pipelines using scheduled triggers.

Let’s embark on your journey on becoming the data pipeline guru in your organization.

Friday 10:20 AM - 11:30 AM · Room 343-344

Load Testing Semantic Models with Fabric Notebooks

This session presents a practical walk-through of a real-world Power BI solution designed to support 20,000 users at Microsoft.

It explores how a notebook-driven method can streamline load testing—from capturing DAX queries and configuring row-level security (RLS), to stress-testing capacity under high concurrency, and finally analyzing test results.

Attendees will discover how these steps help establish benchmarks, optimize Power BI reports, and more accurately gauge capacity requirements, all within an easy-to-configure end-to-end process.

Friday 10:20 AM - 11:30 AM · Room 320-321

Build Intelligent Apps on Microsoft Fabric

Microsoft Fabric has evolved from an analytics platform into a comprehensive data and app development platform, integrating operational databases, Data Agents, GraphQL, and User Data Functions. In this session, we will explore how Fabric’s unified data and developer experience enables you to build intelligent, AI-powered applications seamlessly connected to Microsoft’s AI ecosystem (Foundry) and development tools (VS Code, App Services). Gain insights into how Fabric accelerates application development, enhances data-driven innovation, and enables you to build intelligent AI-powered applications faster and easier than ever.

Friday 12:30 PM - 1:40 PM · Room 343-344

When Medallion Is the Wrong Decision

The medallion pattern has become the default architecture for modern lakehouses — and for good reason. It introduces structure, separation, and insulation between raw ingestion and analytical consumption.

But what happens when the pattern is applied reflexively?

In many real-world deployments, teams implement three physical layers before evaluating volatility, ownership boundaries, or actual risk. The result is increased orchestration, duplicated storage, unclear responsibility lines, and lineage sprawl — without proportional architectural benefit.

This session examines when medallion earns its complexity — and when it introduces unnecessary physical boundaries.

Using a realistic Microsoft Fabric implementation, we’ll compare a traditional Bronze/Silver/Gold design with a collapsed structure that preserves logical separation while reducing artifact sprawl. We’ll explore:

How to evaluate source stability and change frequency

How ownership boundaries should influence layering decisions

The operational cost of unnecessary materialization

How to encode data quality at architectural boundaries

This is not an argument against medallion.

It is an argument for decision-driven architecture instead of pattern-driven defaults.

Attendees will leave with a practical decision framework to determine when layering protects them — and when it simply insulates them.

Friday 12:30 PM - 1:40 PM · Room 347-348

Improve Productivity Quickly by Integrating New Fabric Task Flows for Better Project Management

Microsoft Fabric Task Flows offer a flexible framework for managing and visualizing workflows, catering to both individual analysts and large teams. This session will explore strategies for leveraging Task Flows to enhance design processes, ensuring scalability and efficiency.

The session will cover integrating Task Flows with other Microsoft tools, such as Power BI and Azure, to create a cohesive data analytics environment. We will also discuss managing dependencies and automating repetitive tasks to reduce errors and save time.

Attendees will gain insights through real-world examples and case studies, highlighting the benefits of improved collaboration, enhanced productivity, and better project management. By the end of the session, you will understand how to design and implement task flows that scale efficiently and support complex projects.

Join me to discover how Microsoft Fabric Task Flows can transform your design processes, making them more efficient, scalable, and user-friendly. This session will provide you with the knowledge and tools to optimize your workflows and drive better outcomes for your organization.

Friday 1:50 PM - 3:00 PM · Room 340-342

Agentic AI in a Chatbot Disguise: Fabric Data Agents

Agentic AI is another hot new buzzphrase in the world of AI. But what does it mean? What can it do? What can't it do? How can I explain it to my boss and how it can help me, my team, and my company?

Data Agents in Microsoft Fabric represent Microsoft's attempt to bring agentic AI workflows to your data that resides in, or is accessible to, Fabric. At first glance, these are just chatbots for your Fabric data but, as you look deeper into the integrations with Azure AI Foundry, Copilot Studio, and others, you get some insight into the possibilities for truly automated, agentic workflows designed for and dictated by your data. Join me as we walkthrough the concepts at work, the abilities of Data Agents, and some demos showing you what they can do now (and a bit of where I think they go from here).

Friday 1:50 PM - 3:00 PM · Room 345-346

Securing Data in Fabric with OneLake

Fabric provides multiple layers of security inside of OneLake. This session will explain how OneLake Security applies to data stored in different object types and at different access levels. Attendees will learn how permissions, shortcut behaviors, semantic model Row Level Security (RLS), Object Level Security work with OneLake Security to protect data.

Through live demos, you’ll see how to validate these security settings using a test user, giving you a real-world view of how the various layers interact within an actual architecture. You will also learn how to design secure, least privilege data access across your Fabric environment and, importantly, the steps needed to properly test and confirm that your security model works as intended.