Monday 9:00 AM - 5:00 PM · Room 343

A Comprehensive Guide to Direct Lake for the Pro Data Modeller

Join us for a workshop designed specifically for Pro Data Modellers. This comprehensive session will guide you through all the critical elements needed to build, tune, and maintain a Direct Lake Model in Microsoft Fabric.

Throughout the workshop, you will delve into essential topics such as: -Understanding the prerequisites for setting up your model. -Exploring the anatomy of Parquet files and their role in data storage. -Mastering transcoding and framing techniques to optimize data processing. -Implementing SQL fallback strategies for enhanced reliability. -Discovering new features and how they can benefit your projects. -Ensuring robust security measures to protect your data. -Fine-tuning performance to achieve optimal efficiency. -Navigating the migration process with ease. -Tackling advanced topics to elevate your modelling skills.

By the end of this workshop, you will have gained the knowledge and skills necessary to effectively manage a Direct Lake Model, ensuring your projects are both efficient and secure.

Monday 9:00 AM - 5:00 PM · Room 348

Introduction to Microsoft Fabric for the Data Professional

Join us for a full day of exploration into Microsoft Fabric, the revolutionary Software as a Service (SaaS) product that’s changing the game in Business Intelligence and Modern Analytics. For the last 3 years, Microsoft has been building this groundbreaking technology, which offers the ability to ingest and link to existing data without duplication. With Azure Synapse Data Engineering, Data Factory, Data Science, Data Warehousing, Realtime Analytics, and Power BI all at your fingertips, the possibilities are endless. In this pre-conference event, we’ll guide you through a full build scenario, showing you how to link existing data, and utilize OneLake. Join us and discover the power of Microsoft Fabric!

Tuesday 9:00 AM - 5:00 PM · Room 342

ETL, KQL, and RTI: Harnessing Data in Motion with Microsoft Fabric

Real-time Intelligence in Microsoft Fabric brings us into the next generation of data movement and event-driven architecture. As the arms race of cloud data platforms continues, make sure you know the weapons at your disposal so you and your company are fully equipped for the future - because the future is not far away. While you may be familiar with RTI’s streaming data capabilities, did you know it can be an integral part of your ETL architecture? While you may have heard of KQL, did you know it can do data visualization? While you may have heard of RTI, did you know it can help you monitor your entire data estate?

Join RTI product group members and Microsoft Data Platform MVPs for a full day of learning. Takeaways include:

• Loading a full medallion architecture using RTI components
• Use case by use case breakdown of the components of RTI and how customers are using them today across their data estate
• Data visualization and trend analysis with KQL
• Monitoring your entire data estate using Real-time Intelligence in Microsoft Fabric

Tuesday 9:00 AM - 5:00 PM · Room 343

Data Science Jump Start using Microsoft Fabric

Data scientists can manage data, notebooks, experiments, and models while easily accessing data from across the organization and collaborating with their fellow data professionals using Microsoft Fabric.

In this module, you'll learn how to understand the data science process in Fabric, train models with notebooks in Fabric and track model training metrics with MLflow and experiments.

Tuesday 9:00 AM - 5:00 PM · Room 344

Design a Well-Architected Fabric Solution: A Medallion First Approach

Transform your data solutions with a streamlined Medallion Architecture using Microsoft Fabric. This session is tailored for professionals familiar with Power BI and basic dataflows, providing a step-by-step guide to implementing Bronze, Silver, and Gold layers for a scalable and maintainable pipeline. Learn how to evolve an unstructured dataflow and semantic model into a comprehensive architecture. Familiarity with Python or SQL is a bonus but not required.

Modules: • Overview of Medallion Architecture: Gain a clear understanding of Warehouses and Lakehouses, their role within Microsoft Fabric, and how they enable Medallion Architecture. • Understanding OneLake: Dive into OneLake and explore its foundational storage structure, including Delta tables and Parquet. Understand key features like columnar storage, Delta optimizations, and performance enhancements through simple, no-code explanations. • Feature Showdown: Compare and contrast key tools in Microsoft Fabric, such as SQL vs. Spark, Notebooks vs. Dataflows vs. Pipelines, and Warehouses vs. Lakehouses, to determine the best fit for your scenarios. • Well-Designed Architecture & Best Practices: Learn about GIT integration, monitoring techniques, and actionable best practices for designing scalable and maintainable data architectures.

Labs: • Build a Lakehouse and create a Medallion Architecture pipeline. • Extract raw data using Pipelines (Bronze). • Clean and transform data with Spark Notebooks (Silver). • Add business logic with T-SQL (Gold). • Create orchestration and monitor pipelines for optimal performance. • Bonus Lab: Create and manage a semantic model and integrate it with GIT for version control.

Tuesday 1:30 PM - 5:00 PM · Room 340-341

Maximize efficiency in your data-driven projects by leveraging AI and Copilot technologies.

In the Total Economic Impact™ of Microsoft Fabric study, the composite organization based on data from four companies using Fabric showed an increase in data engineer and data scientist productivity of up to 50%, plus a 15% increase in business analyst productivity.

In this workshop, we will explore the transformative potential of various copilots, AI services within Microsoft Fabric. It covers live demos and hands on experience on Microsoft Fabric Copilots, AI Skills, Fabric integration with AI and GenAI services.

Participants will thoroughly explore the Copilot maturity framework and learn strategies to overcome adoption challenges, enabling customers to maximize the benefits of Copilots.

Wednesday 8:30 AM - 9:40 AM · Room 342

Copilot in Fabric - AI Data Science Help Tips and Tricks

Copilot and other generative AI features bring new ways to transform and analyze data, generate insights, and create visualizations and reports in Microsoft Fabric and Power BI. Come see how to take advantage of Copilot in Fabric, what it can do and how to make sure it's enabled.

Wednesday 8:30 AM - 9:40 AM · Room 340-341

Microsoft Fabric: Ultimate Data Security for Robust Data Warehousing

This session delves into the advanced security features of Microsoft Fabric, specifically designed for data warehousing. Attendees will learn how to classify and protect sensitive data using sensitivity labels and policies in Microsoft Purview.

The session will cover the implementation of Row-Level Security (RLS) to restrict access at the row level, ensuring users only see data relevant to their roles. Additionally, it will explore Column-Level Security (CLS) to secure specific columns in datasets, providing an extra layer of protection for sensitive information.

Participants will also discover how to use data masking techniques to obfuscate sensitive data, making it unreadable to unauthorized users while maintaining usability for authorized personnel. The session will emphasize aligning data warehousing practices with regulatory requirements such as GDPR, HIPAA, and CCPA, leveraging Microsoft Fabric’s compliance tools and features.

Join us to gain a comprehensive understanding of how to secure your data warehouse end-to-end within Microsoft Fabric.

Wednesday 8:30 AM - 9:40 AM · Room 344

Microsoft Fabric: Lessons from Year 1

As of November 2023, Microsoft made the announcement that Microsoft Fabric was Generally Available. In the time since, many organizations jumped into the exciting world of this emerging technology.

Any fabric, technical or not, needs to be well maintained to retain its initial quality and usefulness. In the same way, your approach to implementing Microsoft Fabric could either set yourself up for a successful, long-term implementation, or one that needs a rebuild in 1-2 years.

In this session, I'll walk through features of Fabric that have lived up to the hyped labels and work as prescribed. I'll also provide demos challenges I've faced with the product and how I've worked through them. Finally, I'll recommend routine activities that should be performed on any Fabric environment to keep it nice and clean.

(If this wasn't enough Fabric references and you need more, check out this session for even more puns!)

Wednesday 8:30 AM - 9:40 AM · Room 345-346

Real-Time Intelligence: Turning Streaming Data into Smart Decisions

In today’s fast-paced world, making smart, data-driven decisions in real time is essential for maintaining efficiency and quality in business operations. Join us to explore Microsoft Fabric Real-Time Intelligence and discover how to seamlessly ingest, analyze, and act on real-time data. Learn how to:

1. Ingest real-time data from multiple sources into Fabric
2. Run lightning-fast queries for instant insights
3. Monitor key metrics with intuitive, real-time dashboards
4. Set up automated alerts and detect anomalies for proactive issue resolution
5. Leverage Copilot in Real-Time Intelligence to query data using natural language

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

Fabric Data Factory: What's New and Roadmap

In this session, you will learn the exciting product innovations and roadmap for Fabric Data Factory. You will learn how Fabric Data Factory provides industry-leading data movement, transformation and orchestration capabilities. You will learn how AI-powered development experiences will enable you to be more productive and effectively build data integration solutions.

Wednesday 10:20 AM - 11:30 AM · Room 342

Accelerate Intelligent App Development with SQL Database in Microsoft Fabric

Discover the new SQL database in Microsoft Fabric, where seamless setup and an integrated development environment enable you to quickly leverage the power of an AI-driven data platform. Provision and deploy an autonomous database with built-in security in seconds, featuring automatic setup. In this session, we'll delve into the potential of SQL database in Fabric, which combines the enterprise-scale features and capabilities of the Azure SQL Database engine with the autonomous management and ease-of-use advantages of the Microsoft Fabric data estate. We'll uncover core functionalities, best practices, and real-world strategies to integrate your database with other Fabric workloads, creating a tailored, high-impact data stack that empowers your solutions to thrive within the Fabric ecosystem.

Wednesday 10:20 AM - 11:30 AM · Room 340-341

Generate self-service governance dashboard using Microsoft Fabric and Purview

1. Data Ingestion & Integration Utilize Microsoft Fabric’s OneLake to unify governance data from Purview, M365, and third-party data sources. Implement Synapse Data Engineering to transform governance metadata into structured insights.
2. Governance Metrics & Compliance Monitoring Define key governance KPIs, including: * Data Quality Scores (accuracy, completeness, consistency). * Compliance Status (GDPR, HIPAA, industry-specific regulations). * Data Lineage & Sensitivity Labels (metadata classification). * User Access & Data Usage Trends.
3. Self-Service Dashboard with Purview Integrate Purview with Fabric for real-time metadata visualization. Design interactive dashboards in Power BI with drill-down capabilities for governance teams. Enable role-based access control for different user personas (CIO, Data Stewards, Compliance Officers).

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

Deep dive into Direct Lake

Join Patrick Leblanc and Phil Seamark for a deeper dive to discover what makes Direct Lake so fast. This session will cover important elements of monitoring and optimizing your Fabric data platform to unlock the full potential of Direct Lake, such as how to interpret Delta Analyzer logs and what to look out for if things slow down.

Wednesday 10:20 AM - 11:30 AM · Room 348

Getting started with SQL database in Fabric

Microsoft Fabric, the unified data platform, now includes an operational database solution and it is SQL! Come learn all the fundamentals of how this solution is the same and different from other SQL deployment options. We will also show you the value of using SQL in the Fabric ecosystem including developer experiences, automation, monitoring, and integration for AI applications.

Wednesday 2:00 PM - 3:10 PM · Room 342

Build an end-to-end data solution with Microsoft Fabric

In this session, we will explore how to leverage Microsoft Fabric to create an end-to-end data solution. From leveraging Data Factory for data movement and orchestration, Notebooks to assist with data cleansing and further transformation, along with various engines such as Lakehouse and Power BI to complete the story. We look at how to get your data, get it into a usable form and possibly even reusing that data without having to copy with the end goal of providing reports and visualizations. We'll also look at other benefits where you can leverage the data for a complete solution.

Wednesday 2:00 PM - 3:10 PM · Room 348

Transform your business with integrated solutions using SQL database in Microsoft Fabric

The promise of SQL Database in Fabric is that it is simple, autonomous, and optimized for AI - but what does that mean for you and your organization? In this session we will explore how various personas can benefit from a deeply integrated operational database in Fabric. Discover how customers are using SQL Database in Microsoft Fabric today, and how Fabric databases can help you build innovative solutions in the age of AI, faster and easier than ever.

Wednesday 4:00 PM - 5:00 PM · Room 342

Fabric houses, when to go for Lakehouse or Warehouse (or both)?

Should you keep your data in the Fabric Lakehouse or the Warehouse? What are the pros and cons? In Fabric, all and any data is kept in the OneLake, and it is processed by one of the Fabric’s data engines. Choosing between Lakehouse and Warehouse (or both) is at the same time a strategic and performance impacting decision. • In this demo oriented session you will learn: o Their distinctions and particular use cases o When they overlap o How to use them together o When not to use one of them (or either)

Wednesday 4:00 PM - 5:00 PM · Room 340-341

Skills to Pay The Bills: Using AI Skills in Fabric

Have you struggled with the wide variety of ways to implement AI in and around your data? Which API to call? Which model to deploy? Where do I go for help? Did you know there are built-in AI skills in Microsoft Fabric that provide a single place for you to utilize AI in and around your Fabric data? Join me for this demo-rich 1-hour session as we learn about what AI skills can do for your data in Microsoft Fabric - and for you!

Wednesday 4:00 PM - 5:00 PM · Room 344

Data Governance with Microsoft Purview and Microsoft Fabric

Managing data across large organizations can feel like an endless game of catch-up. Microsoft Purview and Fabric make it easier by giving teams tools to organize, protect, and share data without constant compliance headaches.

First, we’ll look at the challenges organizations face when data is scattered across silos with possible security gaps slowing everything down and creating possible regulatory concerns.

Next, we’ll see how Purview and Fabric work together to streamline data management by cataloging assets, enforcing protections, and making data easier to find.

Finally, we’ll show how this approach simplifies compliance, improves data accessibility, and supports better collaboration across teams.

Attendees will come away with a practical guide on using Microsoft Purview and Fabric to keep data organized, compliant, and useful.

Thursday 8:25 AM - 9:35 AM · Room 345-346

Harness the Power of Microsoft Fabric and Notebooks

Microsoft Fabric gives us a notebook experience unlike any other previous Microsoft product. The power of notebooks is immense. Sure you can use data from your Lakehouse, Data Warehouse, or OneLake but what about PYODBC? Can we connect to a relational database without a Data Pipeline or a Data Flow? Could we just download a file from Kaggle or Github and start using Data Wrangler? Could we use Beautiful Soup to scrape data, load it into a Pandas data frame, and begin working with it? Can we invoke OpenAI models using GPT to glean new insights into our data? Yes, Yes, Yes, Yes, and Yes. Yes we can, and in this session you will learn how to harness the power of Microsoft Fabric Notebooks.

Thursday 10:20 AM - 11:30 AM · Room 340-341

How to Pitch Fabric to your Leadership

While executives are familiar with Power BI's impact on business intelligence, many remain unaware of how Microsoft Fabric revolutionizes the entire data value chain. This session bridges that knowledge gap, equipping data leaders with practical strategies to transform Fabric from "just another BI tool" into a compelling platform for enterprise-wide data transformation. Learn how to build a clear, staged roadmap that starts with familiar Power BI territory and progressively demonstrates Fabric's game-changing capabilities in data integration, lakehouse architecture, and real-time analytics. Through real-world case studies, you'll see how leading organizations have successfully expanded from departmental BI to enterprise-wide data transformation using Fabric's unified platform. We'll explore how to identify and prioritize quick wins that build momentum while laying the foundation for broader adoption. You'll learn effective techniques for quantifying ROI at each stage of implementation, addressing security and governance concerns, and managing organizational change from your existing data stack to Fabric's modern architecture. Whether you're just starting to evaluate Fabric or looking to accelerate adoption, you'll leave with a practical blueprint for moving your organization beyond Power BI into the full potential of Microsoft's unified data platform.

Thursday 10:20 AM - 11:30 AM · Room 342

Revolutionizing Data in Motion w/ Real-Time Intelligence in Microsoft Fabric

If you work with data, you're generally dealing with two types of data: data in motion and data at rest. While we have many time-tested solutions for dealing with our data at rest, it hasn't been simple or straightforward to deal with data in motion - yet.

Real-Time Intelligence in Microsoft Fabric opens the door to some truly innovative, low-code approaches to dealing with your data in motion, whether that data is in ETL processes, streaming data, or something else entirely. Join me for this hands-on walkthrough to RTI - what it is, what it isn't, and what it can do for you.

Thursday 10:20 AM - 11:30 AM · Room 344

Microsoft Fabric and Azure Health Data Services

Bringing together diverse health data sources is essential for delivering healthcare solutions. Microsoft Fabric and Azure Health Data Services make it possible to integrate, manage, and analyze this data within a single platform to support patient care, claims processing, provider targeting, and more.

First, we'll explore the challenges in accessing and harmonizing various healthcare data types, highlighting how gaps in information can limit effective claims management, provider targeting, and timely interventions.

Next, we'll dive into how Fabric's advanced analytics capabilities enable the import and transformation of complex health datasets, including claims data and social determinants of health (SDOH).

Finally, we'll cover Azure Health Data Services' tools for securely exporting and managing health data, enhancing patient outreach, and supporting analytics for provider performance and network optimization. We'll see how combining Fabric's analytics with these services supports proactive care management, efficient claims handling, and strategic provider targeting.

Attendees will leave with a clear plan to use Microsoft Fabric and Azure Health Data Services for comprehensive healthcare data integration and analytics, enabling better patient care, improved claims processing, and effective provider engagement.

Thursday 12:40 PM - 1:50 PM · Room 320-321

Choosing the Right Data Store--An Overview of Azure Data Platform Choices

There are several different data platform solutions for use within your application. Selecting the right option can make the difference between a well-performing application and a poorly performing one; not to mention the cost aspect of choosing the wrong solution.

In this session we'll look at the options of Azure SQL Database, Azure SQL Database Managed Instance, and Cosmos DB to see when these are all going to be the correct option, and when these aren't going to be the right option; both from a price and performance perspective.

Thursday 12:40 PM - 1:50 PM · Room 342

Transform Your Business with Real-Time Intelligence: Microsoft Fabric Meets Dynamics 365

Abstract: Imagine your Dynamics 365 data not just as a record-keeping system, but as a live, actionable resource driving real-time decisions across your organization. In this session, we’ll dive deep into how Microsoft Fabric enhances Dynamics 365 with real-time intelligence, enabling you to unlock new opportunities for operational efficiency and innovation. We’ll start by demonstrating how to implement event sourcing to capture and process changes in Dynamics 365 in a real time fashion way, integrating into Microsoft Fabric’s powerful analytics and data integration capabilities. Using real client success stories, you’ll see how these patterns enable instant updates, real-time reporting, and proactive decision-making. You’ll also experience live demos showcasing the full lifecycle of real-time data integration—from capturing events in Dynamics 365 and transforming them in Fabric pipelines, to visualizing actionable insights in Power BI and bringing them back into Dataverse to empower your teams.

In this session you will learn how event sourcing and modern integration patterns bring data to life, through real client success stories and live demos.

What You’ll Learn:

• How to set up real-time data pipelines between Dynamics 365 and Microsoft Fabric.
• Practical event-sourcing patterns for building seamless, scalable integrations.
• Techniques to surface actionable insights back into Dynamics 365 and Dataverse to empower decision-making.
• Best practices for operationalizing real-time intelligence with minimal disruption to your existing architecture.

Why Attend:

You’ll leave this session with a step-by-step understanding of how to create real-time intelligence solutions, backed by practical examples and real-world use cases. Whether you're a data professional, architect, or Dynamics 365 expert, this session will give you actionable tools and insights to take back to your organization.

Post-Session Outcomes:

• Start building your first real-time integration using Microsoft Fabric and Dynamics 365.
• Access resources, templates, and best practices shared during the session to accelerate your implementation.
• Connect with like-minded professionals to collaborate and share ideas.

Call to Action:

Don’t just learn—act! After the session, you’ll be encouraged to apply what you’ve seen, with resources and next steps to kickstart your real-time intelligence journey. Let’s turn your data into a strategic advantage!

Thursday 12:40 PM - 1:50 PM · Room 344

Power BI Storage Modes: The Ultimate Showdown

Power BI offers three different storage modes for data: Direct Query, Import and Direct Lake. Each of them has its own advantages and disadvantages, depending on the scenario and the requirements. But which one is the best overall? How do they compare in terms of performance, scalability, flexibility and ease of use?

In this session, we will put the three storage modes to the test in a series of challenges inspired by the Olympic Pentathlon. We will use real-world data sets and scenarios to measure how each storage mode handles different aspects of data analysis and visualization. We will also share some best practices and tips on how to choose the right storage mode for your project.

By the end of this session, you will have a better understanding of the strengths and weaknesses of each storage mode, and you will be able to decide which one deserves the gold medal in your Power BI dashboard.

Thursday 12:40 PM - 1:50 PM · Room 347

Unleash the Power of SQL Database in Fabric: Innovate Without Limits Using the Free Trial

Curious about SQL Database in Fabric but unsure where to start? This session is your gateway to limitless innovation—completely free. Discover how to leverage the Fabric free trial to explore serverless computing, real-time analytics, and AI-powered insights—all without cost or commitment.

We’ll walk you through hands-on scenarios, best practices, and real-world workflows that showcase the full potential of SQL Database in Fabric. Learn how to automate processes, optimize performance, and seamlessly integrate SQL with other Fabric components to drive efficiency and scale effortlessly.

Whether you're a developer, data engineer, or tech innovator, this session will give you the tools to experiment, build, and unlock new capabilities—risk-free. Don't miss this opportunity to transform your data solutions and bring your ideas to life with zero barriers, zero cost, and endless possibilities.

Thursday 2:00 PM - 3:10 PM · Room 342

Data Processing Architecture: Key Design Principles & Considerations

In the era of big data, the design of data processing architecture is crucial for efficient data management and analysis. This presentation explores the fundamental principles and considerations essential for constructing robust data processing systems. Key design principles such as scalability, reliability, security, and flexibility are examined in detail.

The architecture's ability to handle varying data flows, ensure data integrity, and maintain security across multiple stages is emphasized. Additionally, the presentation discusses various architectural patterns, including data warehouses, data lakes, and data flow pipelines, highlighting their respective use cases and benefits.

Furthermore, the presentation contrasts traditional data processing architecture with the emerging concept of data mesh. While traditional architectures focus on centralized data processing and transformation, data mesh advocates for a decentralized approach, promoting domain-oriented data ownership and self-serve data infrastructure.

This comparison underscores the shift from monolithic data management to a more flexible and scalable architecture, addressing the diverse needs of modern data-driven organizations.

By adhering to these principles and considerations, data engineers can create systems that not only meet current data processing needs but are also adaptable to future technological advancements and data requirements.

Thursday 2:00 PM - 3:10 PM · Room 343

Migration Mystery Solved: Moving SSRS and SSAS to Power BI

Management has come to you and said that now is time to migrate your SSRS and SSAS assets to Power BI. Now you’re wondering about things like: where do I start? Is there planning that can be done to de-risk the migration? Are there tools that could help me with migration? Good News! There are places to start, there is planning that can be done, and yes, there are tools that can help with migrations. We will also discuss P SKU to F SKU migration as a lot of customers are facing that challenge now as well.

During this session we are going to guide you through the migration process by covering: • Assessing your current environment • Planning your migration strategy • Selecting the right tools • Executing the migration in phases • Validating and optimizing the migration and its processes

Thursday 2:00 PM - 3:10 PM · Room 347

Unified DevOps for Microsoft Fabric, Azure SQL, and SQL Server with next-gen SQL projects

With Microsoft.Build.Sql SDK-style SQL projects, your database objects are stored as code for seamless development in Microsoft Fabric and client tools like VS Code and Visual Studio, but the advantages don’t stop there. The modernized SQL projects format backs Fabric’s git integration and deployment pipelines for Data Warehouse and SQL database, providing interoperability with extended CI/CD capabilities and your existing DevOps investments for SQL Server, Azure SQL Database, and Synapse Data Warehouse. SQL project’s code analysis and other build-time tests validate database code quality and correctness during continuous integration of code changes. With SQL projects delivering database object updates is easier and more reliable whether you're managing one database or a fleet of databases because the deployment plan is dynamically calculated through the SqlPackage CLI. In this session we’ll learn how to leverage the Fabric experiences for database DevOps in addition to the depth of capabilities from SQL projects such that we can efficiently develop and deploy database changes with source control integration, all with the tools you love.

Thursday 4:00 PM - 5:10 PM · Room 343

SQL Server 2025: The Enterprise AI ready database

Come learn about the latest information for SQL Server 2025, now in preview. You will learn how to bring AI to your data with AI applications using built-in vector capabilities ground to cloud. In addition, you will learn about new enhancements for developers including JSON, RegEx, REST API, GraphQL, Change Streaming. You will also learn about all the new engine features for security, performance, and availability. You will also see how to integrate your SQL Server 2025 experience using the new SSMS21 and SSMS Copilot.

Friday 9:00 AM - 10:10 AM · Room 344

Supercharge your analytics with Microsoft Fabric Real Time Intelligence

For many years, data has been primarily batch loaded from sources on fixed schedules, resulting in operational challenges, outdated data, and delayed insights. The introduction of Lambda architecture aimed to mitigate these issues by accelerating some data processing. Now, with Microsoft Real Time Intelligence, we can easily enhance analytics architecture to easily integrate "hot-path" approaches to make data available faster. In this instructional session, we will explore how to integrate event sourcing and other microservices patterns to achieve real-time data integration using Microsoft Fabric. Attendees will learn practical techniques and best practices for implementing these patterns to ensure seamless and efficient data flow.

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

Make your solution sparkle with the medallion architecture

As a data engineer you spend a lot of time transforming data into data models that in turn will be used to provide insights to your organization. As the lines between the technical and business roles become more and more blurred it is even more important to establish a solid data architecture.

In this session we will demystify the medallion architecture and its different layers. We will showcase how you can use it in your solutions like Azure Databricks or Microsoft Fabric as well as digging into the benefits of using a non-technical approach when collaboration between different data roles increases even more.

If you are a data engineer, a data analyst, a business analyst or a business representative consuming analytical data, this session is for you. You will by the end of this session identify how your data flows through the layers of the medallion architecture and what data to use for different use cases.

Friday 10:20 AM - 11:30 AM · Room 344

Harnessing the Power of Data Mesh: A Deep Dive into the Four Pillars of Modern Data Architecture

Abstract: In today's data-driven world, traditional data management approaches often struggle to keep pace with the growing complexity and scale of enterprise data. Enter Data Mesh, a revolutionary paradigm that redefines how organizations handle data. This session will explore the four foundational pillars of Data Mesh architecture: Domain-Oriented Decentralization, Data as a Product, Self-Serve Data Infrastructure, and Federated Computational Governance.

We'll delve into how Domain-Oriented Decentralization empowers teams to own and manage their data, fostering agility and innovation. Discover the concept of Data as a Product, where data is treated with the same rigor and care as any other product, ensuring quality and usability. Learn about Self-Serve Data Infrastructure, which democratizes data access and tooling, enabling teams to work independently and efficiently. Finally, understand the importance of Federated Computational Governance in maintaining security, compliance, and consistency across decentralized data environments.

Join us to gain insights into implementing Data Mesh in your organization, transforming your data strategy, and unlocking the full potential of your data assets.

Friday 10:20 AM - 11:30 AM · Room 347

AI and SQL ground to cloud to fabric

New to AI? Come learn the fundamentals of how to get started with AI and Microsoft SQL everywhere it exists: ground to cloud to fabric. This includes SQL Server 2025, Azure SQL, and SQL database in Fabric. SQL is the perfect place to integrate data with AI because of its industry proven security, scalability, and availability. We will show GenAI capabilities like vector search, how to integrate these with your application, and Copilot experiences everywhere SQL exists including GitHub Copilot.

Friday 12:30 PM - 1:40 PM · Room 344

Build a Robust App with Fabric SQL Database, GraphQL API, and User Data Functions

Discover how to harness the full potential of Fabric to build powerful modern data-driven applications. In this session participants will learn how to use the API for GraphQL and User Data Functions over SQL databases and other data sources in the Microsoft Fabric Platform to build modern “CRUD” (Create, Read Update and Delete) data APIs that you can immediately call from an application. APIs for GraphQL enable you to effortlessly connect your Fabric data with your applications, with only a few clicks. If you have more complex business logic for your data, you can implement it with Python User Data Functions. With these two powerful building blocks and a SaaS-ified, developer-friendly experience, your app will be up and running in no time!

Friday 12:30 PM - 1:40 PM · Room 347

Build AI Apps Smarter: Optimize SQL Database Costs & Performance in Fabric

Take your AI apps to the next level with cost-smart SQL database optimization in Fabric. This session explores how to maximize performance while minimizing costs by leveraging Fabric's capacity monitoring tools for SQL databases. Learn to track resource usage, identify inefficiencies, and optimize database performance—all without exceeding your budget. Designed for app developers, architects, and innovators, this talk will provide real-world strategies to build scalable, high-performing AI apps powered by intelligent SQL database cost management. Discover how to turn insights into action and supercharge your AI applications with Fabric

Friday 12:30 PM - 1:40 PM · Room 348

Unleashing Modern Data Warehousing: Architecture, Insights & Future Innovations in Fabric Warehouse

Join us for a deep dive into the modern data warehouse! We’ll break down the core principles, use cases, and architectural intricacies. Discover how innovations like Data Virtualization, enhanced Data Modeling experiences, AI-powered insights with Copilot, and more are helping developers and customers unlock the full potential of Fabric Warehouse. This session is packed with live demos, best practices, and an exciting glimpse into the future roadmap of Data Warehousing.

Friday 1:50 PM - 3:00 PM · Room 340-341

Realtime product review data analysis for Retail using Fabric RTI, Purview and Azure Open AI

This session focuses on leveraging Microsoft Fabric's Real-Time Intelligence and Generative AI capabilities to monitor and analyze streaming customer review data in retail. Participants will learn how to:

1. Ingest and process streaming data from customer reviews in real-time.
2. Utilize AI agents to detect anomalies in sentiment trends and unusual patterns.
3. Generate insights using Microsoft Fabric’s Real-Time Intelligence, Co-Pilot Studio, and ML notebooks.

Friday 1:50 PM - 3:00 PM · Room 344

Mirroring in Microsoft Fabric - Overview and Roadmap

Microsoft Fabric accelerates data potential for the era for AI. Mirroring simplifies linking of external databases into Fabric, with full replicas created with just a couple of clicks. Once a database is mirrored, real-time updates will automatically be replicated into OneLake and stored as Delta Parquet, an analytics-ready format that works seamlessly for every analytics workload in Fabric. Join us to gain deeper insights and learn how to get started with Mirroring by bringing data gravity to unlock powerful insights in Fabric.