SESSION LIST
Go explore the session details!
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Mastering AI in Power BI
A full end-to-end masterclass on AI in Power BI. During this training day, we’ll cover every corner of AI in Power BI, from preparing data for AI to bringing your Power BI AI assets to life with MCP.
In these times, AI literacy is both an essential career skill and a powerful value-add for organizations. The ability to quickly and easily draw insights and get answers from our data is as important as ever. Furthermore, being able to interact with our data through conversational communication is increasingly in demand.
The training day will be a mix of presentation-style teaching, interactive exercises, and workshop labs. After attending this training day, you’ll be able to set up everything around AI in Power BI end-to-end. You’ll be up to date on the newest tools for AI-powered BI—ready to develop solutions or advise clients and colleagues on how to use AI with Power BI.
Module 1: Data Prep for AI – with AI
In this module, we’ll explore how to get your data ready for AI usage. We’ll cover semantic modeling best practices, context- and prompt engineering, and how to leverage AI itself to fine-tune semantic models for AI usage.
Module 2: AI-assisted Power BI development
In this module, we'll explore the various options for improving your development productivity with the available AI toolbox. We'll cover how the built-in Copilot may help improve low-code workflows and move on to full-fledged AI coding agents. At this stage, participants will learn how to make AI agents develop whole user stories with no human involvement.
Module 3: Data Agents
The third module covers everything about using semantic models as assets for AI agents. In this module, you'll learn how to set up, configure, and refine data agents so that your semantic model data is readily available for "chat with your data" scenarios, as well as for use outside of Power BI.
Module 4: External solutions
In the final module, we explore how Power BI data can be used with AI tools outside of Power BI itself. We'll cover how to use MCP to create custom AI agents and how to use the native MCPs for quick results. Furthermore, we'll explore how to integrate your data agents and semantic models with the rest of the Microsoft AI ecosystem, using AI Foundry and Copilot Studio. Finally, we'll cover how to move beyond the boundaries of Microsoft and use the data in cloud-agnostic use cases, using today's most talked-about AI tools.BlueThu 09:00 - 17:00 -
Understanding DAX Pillars
DAX is a simple language (but not easy at all). Its five pillars, though, need to be clearly understood in order not to get confused when they, as inevitably happens, interact between them in your measures, calculated columns or calculated tables. In this session the five DAX pillars (filter context, row context, context transition, iterations and expanded tables) will be explained, with examples, one by one first and then in interaction between them. Examples will be in increasing complexity order.
YellowThu 09:00 - 17:00 -
Build your DataOps support with CI/CD for Power BI and Fabric
Whether you're just getting started with version control or looking to scale automated deployments in Power BI and Microsoft Fabric, this full-day workshop will equip you with the skills and mindset to implement a professional CI/CD pipeline in your data platform projects.
In the first half of the day, we’ll guide you from zero to a fully functional CI/CD setup for Power BI projects using GitHub. You’ll learn how to:
- Use Power BI project files (.PBIP) for version control.
- Set up repositories and branching strategies.
- Collaborate on features, resolve merge conflicts, and revert to previous versions.
- Implement quality checks using Best Practice Analyzer and other tools to improve governance.
In the second half, we’ll shift our focus to other Microsoft Fabric ittems. You’ll:
- Learn how to configure source control for Fabric workspaces.
- Explore the Fabric CI/CD experience and Fabric CLI to script deployments.
- Implement automated testing, approvals and post-deployment housekeeping to support enterprise-level workflows.
Expect a balanced mix of hands-on labs, real-world scenarios, and strategic insights to help you scale your data development processes with confidence.
Who should attend?
This workshop is for Power BI and Fabric developers, BI architects, and data platform engineers interested in:
1. Adopting version control in their data workflows.
2. Setting up CI/CD pipelines from scratch.
3. Moving toward enterprise-grade automation in Fabric.
No prior CI/CD experience is required — we start from the basics and gradually dive into advanced use cases.PurpleThu 09:00 - 17:00 -
Advanced customization of the core visuals and slicers
From 2023 to 2026, Power BI expanded SVG image support in core visuals such as Table, Matrix, Card, Image, Button, and List slicers. In this session, Andrzej Leszkiewicz shows how SVGs can turn these visuals into high-quality charts that enhance data clarity. The goal is to standardize, not randomize, the look of your reports.
You will learn why and how to build IBCS-guided reports (IBCS: International Business Communication Standards; see also ISO 24896, Notation for business reporting) for clearer financial and operational insights; how to turn charts into slicers and slicers into charts; how to create a Top N + Others bar chart without any changes to the data model; and other ways to improve your reports.
With user-defined functions (UDFs) introduced in 2025, this customization is easier than ever. Free, open-source UDF libraries let you embed charts into core visuals with just a few clicks. You will learn how to use existing UDF libraries and how to create your own SVG + UDF custom visualizations for embedding into the core visuals.
Take your Power BI visuals to the next level in this full-day, deep-dive, hands-on workshop.OrangeThu 09:00 - 17:00 -
Native Write-Back in Fabric: How to build Translytical Task Flows for Power BI
Have you ever wanted to add data entry and write-back functionality to your Power BI Reports?
Perhaps you've wanted to add comments to data points, allow users to input new data entries, or perform master data management tasks?
Translytical Task Flows in Fabric & Power BI allows you to do all of the above and much more, natively within the platform, without needing licenses for external solutions.
In this session we will cover the following essential building blocks for Translytical Task Flows:
- How to create User Data Functions in Fabric for interacting with your backend.
- How to trigger your Functions from Power BI
- How to provide the best possible User Experience in Power BI, by using slicers and inputs to parameterize your write-back actions.
- Pros, Cons and Limitations, also in comparison with other write-back solutions (Power Apps, 3rd party solutions).
The session will teach you all of the above through the case of a Comment/Annotation write-back solution, which you after this session will easily be able to build for your own Power BI reports.BlueFri 10:00 - 10:50 -
The Untruthful Art: Data Literacy In An Age Of Easy Answers
We like to think we're rational. But our brains are pattern-seeking, story-telling machines - and that makes us predictable.
Every piece of information passes through filters: how it was measured, described, visualized, and interpreted. Each layer loses fidelity. Each layer is exploitable. This session explores that gap, from manipulated axes and cherry-picked data to misleading comparisons and false causation. We'll see how these tricks combine in fake news, where outrage replaces analysis, and how AI is making deception faster, cheaper, and harder to spot.
But this isn't just a catalogue of tricks. The final part is about fighting back. I will share practical tools for spotting red flags, questioning charts, and building the habit of thinking before reacting.
Because data literacy isn't a skill you learn once. It's a discipline you practice every time you encounter a number, a chart, or a claim.YellowFri 10:00 - 10:50 -
Mastering Composite Models: Power BI for the Self-Service Developer
Unlock the power of Composite Models in Power BI to bridge the gap between self-service and enterprise reporting.
In this session, we’ll explore how to enrich local data with enterprise Power BI semantic models, giving self-service Power BI developers the best of both worlds—a hybrid solution that combines flexibility with governance.
The session will provide a guided tour on how to simplify the user experience and considerations when working with Composite Models against a Power BI Semantic Model in Direct Query for example using perspectives, the considerations on Calculation Groups and Security.
And if you are a Power BI Admin or Enterprise Semantic Model Developer and want full control and governance, I will show you how to disable it for the self-service developers.BlueFri 11:00 - 11:50 -
Turning Data into Influence: Lessons from Disney+ Inspired Visual Storytelling in Power BI
Join me for an inspiring session where data meets storytelling. Drawing inspiration from Disney+, I'll show you how to turn data into engaging stories using Power BI. We'll dive into creating visual narratives that captivate, inspire, and influence.
Here's what we'll cover:
Storytelling Basics for Data Visualization: Learn the core principles of storytelling and how to apply them to your data.
Designing Engaging Power BI Dashboards: Discover tips and techniques for creating dashboards that capture and hold your audience's attention.
Immersive Experiences from Streaming Platforms: Understand how Disney+ and other streaming services create engaging user experiences and how to apply these concepts to your data presentations.
Transforming Raw Data into Compelling Stories: Explore methods for turning raw data into narratives that resonate with your audience.
Adding Interactive Elements: Learn how to incorporate interactive features to make your data stories more engaging and dynamic.
Communicating Data Insights Clearly: Gain skills to present data insights in a clear and compelling way to inspire action and decision-making.
By the end of the session, you'll be equipped to create captivating Power BI dashboards inspired by Disney+ using best UX practices. You'll be able to make data-driven decisions, effectively transform data, design interactive visuals, and communicate data insights to drive action and change.GreenFri 11:00 - 11:50 -
Building Next-Gen Digital Twins with Microsoft Fabric
Building Next-Gen Digital Twins with Microsoft Fabric involves leveraging the latest tools and technologies to create highly accurate and dynamic digital representations of physical assets. This session focuses on using Microsoft Fabric to develop Digital Twin solutions for Real Time Intelligence scenarios, and it will provide samples to illustrate these concepts. By integrating IoT, AI, and cloud computing, Microsoft Fabric enables real-time data collection, analysis, and visualization, enhancing predictive maintenance, operational efficiency, and decision-making processes. The platform provides seamless connectivity, scalability, and interoperability, driving innovation and transforming industries. Utilizing Microsoft Fabric for Digital Twin solutions paves the way for smarter, more responsive systems that adapt to changing conditions and optimize performanc
RedFri 11:00 - 11:50 -
Deploy Smarter: Enterprise CI/CD in Microsoft Fabric Using fabric-cli and fabric-cicd
In recent months, Microsoft Fabric has introduced new capabilities to support enterprise-grade deployment workflows for data and analytics assets. This session explores practical strategies for setting up and managing CI/CD using two key tools: the official fabric-cli and the open-source fabric-cicd library developed by the community.
While both tools aim to simplify and automate deployments, they aim for different workflows and user needs. fabric-cli, Microsoft’s officially supported command-line tool, offers a straightforward and flexible way to manage Fabric resources—ideal for BI developers and teams seeking automation. In contrast, fabric-cicd provides a structured, code-first approach better suited to data engineering teams managing multi-environment pipelines and version-controlled templates.
Rather than recommending a single solution, we’ll walk through common deployment scenarios—such as publishing Power BI reports, parameterizing environments, and integrating GitHub Actions for automation—and compare how each tool supports them. The goal is to help attendees assess which option, or combination of tools, best aligns with their team’s skills, governance needs, and automation goals.
Whether you're a BI developer looking for quick wins or a platform engineer building scalable pipelines, you’ll leave with actionable insights for implementing CI/CD in Microsoft Fabric.YellowFri 13:00 - 13:50 -
IBCS-guided charts with Just Core Power BI Visuals and DAX
Andrzej will show how to transform a lackluster and ineffective Power BI matrix or table into a highly effective data visualization. He will cover how to embed visualizations into core Power BI visuals (Table, Matrix, Button slicer) and how to format them in accordance with the International Business Communication Standards (IBCS) guidelines.
This session is aimed at Power BI report developers who want to learn how International Business Communication Standards (IBCS) can enhance the interpretability of Power BI reports and how to apply them in Power BI without using custom visuals.
An intermediate understanding of Power BI core visuals and DAX is recommended. You do not need prior knowledge of IBCS.PurpleFri 13:00 - 13:50 -
OneLake Security for the Power BI Developer
OneLake Security is the new centralized policy engine in Microsoft Fabric that promises creation and maintenance of Data Security policies in a single place while being respected by all workloads.
How does this look like from a Power BI Developer perspective? What do I need to change? Can all my previous scenarios still be implemented? How do I migrate from my previous Power BI specific roles to OneLake Security? How are challenges like combinations of Row and Object Level security solved? And how much will Security impact my performance?
Join us for a demo driven session that is meant to answer all those questions.BlueFri 13:55 - 14:45 -
Where to Start With a Messy Semantic Model: A Practical Approach
When you're not given the luxury of building your model from scratch, it can be very easy to become overwhelmed by a model with hundreds of tables, no semblance of a star schema, and DAX that hasn't even been formatted, let alone carefully planned and performance tuned.
This session will outline a framework that can be used to digest the model, provide recommendations (or direct fixes) for some high-level model improvements, and how to then communicate these recommendations effectively to the team.GreenFri 13:55 - 14:45 -
Navigating Data Modeling in Direct Lake
In this session, we'll dive into the Direct Lake, the new Power BI storage mode that seamlessly blends DirectQuery's real-time capabilities and Import mode's performance.
We unravel how this promising technology impacts traditional data modeling approaches, posing essential questions on star schemas, surrogate keys, SCDs, and other classical dimensional modeling techniques.
This session equips you with a deeper understanding of the Direct Lake landscape and its implications for data modeling, empowering you to craft performant data models.
The key areas we'll explore are:
- Overview of Direct Lake
- Impact of Direct Lake on data modeling techniques
- Redefining data transformation strategiesYellowFri 13:55 - 14:45 -
DAX UDFs and Calculation Groups: What, When and How
Calculation Groups used to be the way to go when centralizing DAX code in tabular models. With the arrival of DAX UDFs, now we have more choice, and questions arise. How are they similar and how are they different? When should we use each? How can we use them efficiently and effectively? In this session we will cover the main aspects of both features and we'll dive in some use cases that can help illustrate how we can use them in our every day projects.
PurpleFri 13:55 - 14:45 -
Dataflows, once known as M or Power Query, still reign supreme in Citizen Data Engineering.
Empower people to truly enjoy data with M and Power Query — the tools that make data easy, intuitive, and powerful. Learn how M-based transformations help professional developers support and elevate citizen developers beyond Excel, build consistent and governed models, and create a strong data culture where transformation drives collaboration and success.
RedFri 15:05 - 15:55 -
Documentation in the Age of AI: Why Your PBIP Files Are Your New Best Friend
AI does not eliminate documentation, it makes it essential.
This session presents practical frameworks for building documentation annotation systems that capture the why behind technical decisions, ensuring reports remain maintainable and AI-ready.
You’ll see concrete examples of documenting Power BI bookmarks, visual calculations, and business logic using structured JSON annotations that AI can understand and act on.YellowFri 16:00 - 16:50 -
Why Your Data Team Needs an AI Agent (Not a Chatbot)
"Just ask ChatGPT" has become the default answer for a lot of people for everything. But a one-shot prompt followed by copy-paste is not how you scale a data team's work. In this session, I'll introduce the concept of AI agents - not as a futuristic vision, but as a tool that works today within the Microsoft Fabric ecosystem.
I'll demonstrate how Claude, acting as an agent, plans, uses tools, and iterates on tasks: generating and debugging PySpark/Python notebooks, analyzing and creating Power BI reports using Rui Romano's plugins, building pipeline logic, and performing QA checks on code. All shown on live demos from real-world projects.
You'll walk away with a clear understanding of where AI agents save the most time, where they still fall short, and how to get started on your team - without big investments and without illusions.RedFri 16:00 - 16:50
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Mastering AI in Power BI
A full end-to-end masterclass on AI in Power BI. During this training day, we’ll cover every corner of AI in Power BI, from preparing data for AI to bringing your Power BI AI assets to life with MCP.
In these times, AI literacy is both an essential career skill and a powerful value-add for organizations. The ability to quickly and easily draw insights and get answers from our data is as important as ever. Furthermore, being able to interact with our data through conversational communication is increasingly in demand.
The training day will be a mix of presentation-style teaching, interactive exercises, and workshop labs. After attending this training day, you’ll be able to set up everything around AI in Power BI end-to-end. You’ll be up to date on the newest tools for AI-powered BI—ready to develop solutions or advise clients and colleagues on how to use AI with Power BI.
Module 1: Data Prep for AI – with AI
In this module, we’ll explore how to get your data ready for AI usage. We’ll cover semantic modeling best practices, context- and prompt engineering, and how to leverage AI itself to fine-tune semantic models for AI usage.
Module 2: AI-assisted Power BI development
In this module, we'll explore the various options for improving your development productivity with the available AI toolbox. We'll cover how the built-in Copilot may help improve low-code workflows and move on to full-fledged AI coding agents. At this stage, participants will learn how to make AI agents develop whole user stories with no human involvement.
Module 3: Data Agents
The third module covers everything about using semantic models as assets for AI agents. In this module, you'll learn how to set up, configure, and refine data agents so that your semantic model data is readily available for "chat with your data" scenarios, as well as for use outside of Power BI.
Module 4: External solutions
In the final module, we explore how Power BI data can be used with AI tools outside of Power BI itself. We'll cover how to use MCP to create custom AI agents and how to use the native MCPs for quick results. Furthermore, we'll explore how to integrate your data agents and semantic models with the rest of the Microsoft AI ecosystem, using AI Foundry and Copilot Studio. Finally, we'll cover how to move beyond the boundaries of Microsoft and use the data in cloud-agnostic use cases, using today's most talked-about AI tools.BlueThu 09:00 - 17:00 -
A Well Architected Lakehouse – Get It Right from the Start!
Organizations are increasingly adopting lakehouse architectures to unify analytics and machine learning workloads. However, many implementations suffer from poor foundational decisions that become costly to remediate later. This full-day, hands-on workshop provides practical guidance for architecting, deploying, and operationalizing a robust lakehouse on Microsoft Fabric—ensuring scalability, security, and maintainability from day one.
We begin with architectural planning, where participants learn to define business requirements, design governance and security models, select data storage strategies, and plan for scalability, performance, and cost optimization. The focus is on building blueprints and frameworks that prevent common pitfalls and support long-term success.
Next, we explore Infrastructure as Code (IaC) using Terraform to create repeatable, version-controlled deployments. Participants will set up CI/CD pipelines, build reusable modules, and configure Fabric workspaces for Git integration to ensure traceability and collaboration.
The implementation phase takes these designs into practice: deploying the lakehouse foundation, configuring ingestion pipelines for batch and streaming workloads, applying cataloging and metadata management, and validating data quality and security controls. We also cover Fabric’s variables, environments, and deployment rules, showing how to promote changes safely from development to production with CI/CD.
The day concludes with an interactive Ask Me Anything session, where participants revisit core concepts, raise outstanding technical or strategic questions, and clarify how the lessons apply in their own environments.
Key takeaways: attendees will leave with production-ready templates, architectural blueprints, and operational playbooks they can immediately apply within their organizations.
Prerequisites: Basic cloud and data engineering knowledge, with familiarity in IaC and CI/CD concepts. Terraform or Git experience is helpful but not required.GreenThu 09:00 - 17:00 -
Build your DataOps support with CI/CD for Power BI and Fabric
Whether you're just getting started with version control or looking to scale automated deployments in Power BI and Microsoft Fabric, this full-day workshop will equip you with the skills and mindset to implement a professional CI/CD pipeline in your data platform projects.
In the first half of the day, we’ll guide you from zero to a fully functional CI/CD setup for Power BI projects using GitHub. You’ll learn how to:
- Use Power BI project files (.PBIP) for version control.
- Set up repositories and branching strategies.
- Collaborate on features, resolve merge conflicts, and revert to previous versions.
- Implement quality checks using Best Practice Analyzer and other tools to improve governance.
In the second half, we’ll shift our focus to other Microsoft Fabric ittems. You’ll:
- Learn how to configure source control for Fabric workspaces.
- Explore the Fabric CI/CD experience and Fabric CLI to script deployments.
- Implement automated testing, approvals and post-deployment housekeeping to support enterprise-level workflows.
Expect a balanced mix of hands-on labs, real-world scenarios, and strategic insights to help you scale your data development processes with confidence.
Who should attend?
This workshop is for Power BI and Fabric developers, BI architects, and data platform engineers interested in:
1. Adopting version control in their data workflows.
2. Setting up CI/CD pipelines from scratch.
3. Moving toward enterprise-grade automation in Fabric.
No prior CI/CD experience is required — we start from the basics and gradually dive into advanced use cases.PurpleThu 09:00 - 17:00 -
Native Write-Back in Fabric: How to build Translytical Task Flows for Power BI
Have you ever wanted to add data entry and write-back functionality to your Power BI Reports?
Perhaps you've wanted to add comments to data points, allow users to input new data entries, or perform master data management tasks?
Translytical Task Flows in Fabric & Power BI allows you to do all of the above and much more, natively within the platform, without needing licenses for external solutions.
In this session we will cover the following essential building blocks for Translytical Task Flows:
- How to create User Data Functions in Fabric for interacting with your backend.
- How to trigger your Functions from Power BI
- How to provide the best possible User Experience in Power BI, by using slicers and inputs to parameterize your write-back actions.
- Pros, Cons and Limitations, also in comparison with other write-back solutions (Power Apps, 3rd party solutions).
The session will teach you all of the above through the case of a Comment/Annotation write-back solution, which you after this session will easily be able to build for your own Power BI reports.BlueFri 10:00 - 10:50 -
Fabric Governance: From Assessment to Operating Model
In this session, we'll walk through a practical, modular governance framework built from real enterprise engagements. Minimum theory slides — we'll use real life examples to show what ungoverned Fabric tenants look like in practice.
We'll cover four areas in depth: how to run a data-driven platform assessment that builds stakeholder buy-in; workspace and capacity management including Fabric Domains, workload isolation, and the certification process as a governance forcing function; cost allocation from metadata foundation through showback to chargeback; and the operating model that keeps it all running — governance KPIs, operational cadence, and an honest look at what's technically enforceable versus what requires culture and process.
Whether you're a platform admin trying to get capacity under control, a data leader building a Centre of Excellence, or a finance stakeholder wondering where the Fabric budget is going — you'll leave with a framework you can apply immediately and a realistic picture of what governance actually looks like at scale.GreenFri 10:00 - 10:50 -
Terraform + Microsoft Fabric = OneLove
At last year’s Fabric Community Conference (FabCon) in Las Vegas, Microsoft announced the general availability of the Terraform provider for Microsoft Fabric. This milestone has significantly narrowed the gap in automated management of Fabric resources. Terraform, HashiCorp’s industry-leading Infrastructure-as-Code (IaC) tool, now enables streamlined provisioning and management of Microsoft Fabric environments using code.
In this session, we’ll explore:
* Why Infrastructure-as-Code matters: Discover the value of coding your infrastructure for scalability, repeatability, and efficiency
* What’s possible with the Microsoft Fabric Terraform provider (& friends): Learn how to manage capacities, workspaces, connections, gateways, lakehouses, data pipelines, and other Fabric resources programmatically
* Current limitations and workarounds: Get a clear view of what’s supported, what isn’t, and how to address gaps
* Internal Git integration vs. IaC: What is the role of Microsoft Fabric’s built-in Git integration, where it complements and where it differs from the broader IaC approach
Whether you’re new to IaC or looking to optimize your automation with Microsoft Fabric, this talk will provide actionable insights to elevate your automation strategy.YellowFri 11:00 - 11:50 -
Building Next-Gen Digital Twins with Microsoft Fabric
Building Next-Gen Digital Twins with Microsoft Fabric involves leveraging the latest tools and technologies to create highly accurate and dynamic digital representations of physical assets. This session focuses on using Microsoft Fabric to develop Digital Twin solutions for Real Time Intelligence scenarios, and it will provide samples to illustrate these concepts. By integrating IoT, AI, and cloud computing, Microsoft Fabric enables real-time data collection, analysis, and visualization, enhancing predictive maintenance, operational efficiency, and decision-making processes. The platform provides seamless connectivity, scalability, and interoperability, driving innovation and transforming industries. Utilizing Microsoft Fabric for Digital Twin solutions paves the way for smarter, more responsive systems that adapt to changing conditions and optimize performanc
RedFri 11:00 - 11:50 -
Exploring permission boundaries in Microsoft Fabric
Microsoft Fabric offers a wide range of options to define permissions for both item and data access, using different scopes of the platform. As options keep evolving, it's a challenge to determine a viable permission strategy that works for the use cases at hand, offers business users the flexibility they are looking for, and passes those dreaded security checks to be able to move to production.
Focusing on a typical lakehouse architecture for data analysis using Microsoft Fabric, we'll explore the different options that exist to provide access to items and define data security rules. We'll discuss how these different options can impact business users, walking through pros and cons, and providing examples that are manageable and usable at scale. Above all, the guiding principle of least privileged access is our north star, making sure we do our part to keep company data safe.
We'll tie personas and use cases to common data access patterns and assess how Microsoft Fabric can help us get the data closer to where the business user is, helping them to make better informed decisions using validated data.
After wrapping up the walkthrough, people should feel informed about the different options that exist, empowered to make their own decisions based on their own use cases and requirements, and reassured that it really isn't that complicated as it seems.BlueFri 13:00 - 13:50 -
Deploy Smarter: Enterprise CI/CD in Microsoft Fabric Using fabric-cli and fabric-cicd
In recent months, Microsoft Fabric has introduced new capabilities to support enterprise-grade deployment workflows for data and analytics assets. This session explores practical strategies for setting up and managing CI/CD using two key tools: the official fabric-cli and the open-source fabric-cicd library developed by the community.
While both tools aim to simplify and automate deployments, they aim for different workflows and user needs. fabric-cli, Microsoft’s officially supported command-line tool, offers a straightforward and flexible way to manage Fabric resources—ideal for BI developers and teams seeking automation. In contrast, fabric-cicd provides a structured, code-first approach better suited to data engineering teams managing multi-environment pipelines and version-controlled templates.
Rather than recommending a single solution, we’ll walk through common deployment scenarios—such as publishing Power BI reports, parameterizing environments, and integrating GitHub Actions for automation—and compare how each tool supports them. The goal is to help attendees assess which option, or combination of tools, best aligns with their team’s skills, governance needs, and automation goals.
Whether you're a BI developer looking for quick wins or a platform engineer building scalable pipelines, you’ll leave with actionable insights for implementing CI/CD in Microsoft Fabric.YellowFri 13:00 - 13:50 -
A scalable dataplatform starts with reusable code: Metadata to the Rescue
Two new tables? No problem. A new data source? Sure. But why does it always feel like you have to rebuild your entire pipeline from scratch?
If you find yourself copy-pasting code just to ingest slightly different datasets, it’s time for a smarter approach.
In this session, you’ll learn how to design a metadata-driven data platform that adapts dynamically—no hardcoded paths, file formats, or load strategies. Just clean, reusable code guided by metadata that tells your pipeline or notebook what to load, from where, and how.
We’ll cover:
- How to structure and store metadata (like source type, load method, and schedule)
- How to build pipelines or notebooks that use this metadata at runtime
- How this metadata-driven approach works seamlessly across different tools—whether you’re using Databricks, Azure Data Factory, Microsoft Fabric, or any other platform.
- How this approach saves time, reduces duplication, and makes onboarding new sources effortless
Maintenance becomes a lot easier and scaling your platform is easy because your ingestion is metadata driven.
Want to save time and keep your code clean and clear when building pipelines? This session’s for anyone working on data platforms.RedFri 13:00 - 13:50 -
OneLake Security for the Power BI Developer
OneLake Security is the new centralized policy engine in Microsoft Fabric that promises creation and maintenance of Data Security policies in a single place while being respected by all workloads.
How does this look like from a Power BI Developer perspective? What do I need to change? Can all my previous scenarios still be implemented? How do I migrate from my previous Power BI specific roles to OneLake Security? How are challenges like combinations of Row and Object Level security solved? And how much will Security impact my performance?
Join us for a demo driven session that is meant to answer all those questions.BlueFri 13:55 - 14:45 -
Where to Start With a Messy Semantic Model: A Practical Approach
When you're not given the luxury of building your model from scratch, it can be very easy to become overwhelmed by a model with hundreds of tables, no semblance of a star schema, and DAX that hasn't even been formatted, let alone carefully planned and performance tuned.
This session will outline a framework that can be used to digest the model, provide recommendations (or direct fixes) for some high-level model improvements, and how to then communicate these recommendations effectively to the team.GreenFri 13:55 - 14:45 -
Navigating Data Modeling in Direct Lake
In this session, we'll dive into the Direct Lake, the new Power BI storage mode that seamlessly blends DirectQuery's real-time capabilities and Import mode's performance.
We unravel how this promising technology impacts traditional data modeling approaches, posing essential questions on star schemas, surrogate keys, SCDs, and other classical dimensional modeling techniques.
This session equips you with a deeper understanding of the Direct Lake landscape and its implications for data modeling, empowering you to craft performant data models.
The key areas we'll explore are:
- Overview of Direct Lake
- Impact of Direct Lake on data modeling techniques
- Redefining data transformation strategiesYellowFri 13:55 - 14:45 -
An Apache Spark query's journey through the layers of Microsoft Fabric
An Apache Spark Query's Journey Through the Layers of Microsoft Fabric
Join us for an exciting deep dive into the heart of Apache Spark! We'll take you on a journey to see exactly how your Spark queries get executed, both within Apache Spark itself and through the different layers of Microsoft Fabric. Here's what we'll explore together:
* Spark SQL and Catalyst: A break down how Spark SQL works hand-in-hand with the Catalyst optimizer to make your queries smarter and faster.
* A Note on Tungsten: Discover how Tungsten boosts Spark’s performance with better memory management and lightning-fast execution.
* A note on Fabrics native execution engine: Bringing the power of C++, for even faster query execution.
*Delta Lake: See how Delta Lake makes your data lakes more reliable and scalable, ensuring your data is always in top shape.
*Parquet Files: Learn why Parquet’s columnar storage is a game-changer for efficient data storage and quick retrieval.
We'll look into the official Apache Spark source code on GitHub, giving you a real, hands-on look at what's happening under the hood.
By the end of this session, you'll have a clearer understanding of how your queries run and some tools and tips to help you solve problems and optimize your Spark jobs for both speed and cost.BlueFri 15:05 - 15:55 -
Fabric meets Databricks
Microsoft Fabric and Databricks are the two major players when it comes to building data platforms on Microsoft Azure. Both have their very specific strengths and focus and there are also a lot of features that overlap. Sometimes it can be hard to chose the right tool to start your analytics journey with. In this session I will give you and quick overview of both technologies and quickly dive into the specific technical and non-technical nuances of each. The last part of the session will be about how the two platforms can play together and how to get the best out of both worlds.
YellowFri 15:05 - 15:55 -
Dataflows, once known as M or Power Query, still reign supreme in Citizen Data Engineering.
Empower people to truly enjoy data with M and Power Query — the tools that make data easy, intuitive, and powerful. Learn how M-based transformations help professional developers support and elevate citizen developers beyond Excel, build consistent and governed models, and create a strong data culture where transformation drives collaboration and success.
RedFri 15:05 - 15:55 -
From Fabric to Fantastic: How dbt Makes Your Lakehouses and Warehouses Shine
Unlock the full potential of your Microsoft Fabric Data Warehouse or Lakehouse. This session dives into dbt, a tool that streamlines SQL development within Fabric. It lowers the barrier of entry into the world of data analytics to everyone who ever wrote a line of SQL. Learn how dbt empowers data teams with functionalities like data documentation, automated testing, and data lineage for reliable and insightful analytics.
BlueFri 16:00 - 16:50 -
Why Your Data Team Needs an AI Agent (Not a Chatbot)
"Just ask ChatGPT" has become the default answer for a lot of people for everything. But a one-shot prompt followed by copy-paste is not how you scale a data team's work. In this session, I'll introduce the concept of AI agents - not as a futuristic vision, but as a tool that works today within the Microsoft Fabric ecosystem.
I'll demonstrate how Claude, acting as an agent, plans, uses tools, and iterates on tasks: generating and debugging PySpark/Python notebooks, analyzing and creating Power BI reports using Rui Romano's plugins, building pipeline logic, and performing QA checks on code. All shown on live demos from real-world projects.
You'll walk away with a clear understanding of where AI agents save the most time, where they still fall short, and how to get started on your team - without big investments and without illusions.RedFri 16:00 - 16:50 -
Building Event-Driven Architectures in Fabric
Event-driven architecture (EDA) is a design pattern in which the flow of data through the layers of the data platform (such as ETL pipelines) is determined by events such as user actions, sensor outputs, or messages from other programs. Event-driven architecture can enable real-time data processing and decision-making by reacting to events as they occur, facilitating timely insights and actions – which is the domain of Real-Time Intelligence in Fabric. But it can also be applied to a more batch-oriented platform such as the Lakehouse or Warehouse, where the flow of data is orchestrated by the events instead of the traditional fixed schedule.
This session will cover the basics of event-sourcing and messaging, as well as best practice when designing and building event-driven architectures. We’ll discuss the platforms and tools available to us in Fabric such as Real-Time Hub, but we will also cover which parts in the Azure stack to support us making Fabric event-driven.
You will learn how to build enterprise-scale event-driven solutions, with a demonstration of a full end-to-end streaming data solution built in Microsoft Fabric. We will cover how to optimize cost and scalability when building these solutions, ensuring that your solution is also resilient and performant when handling data in motion.
And last, but not least - even if your organization does not have much in the way of data in motion at the moment, you will learn how to build event-driven actions on a variety of event types and deliver value and insights quicker without relying on traditional batch and scheduling data integration solutions.PurpleFri 16:00 - 16:50
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A Deep Dive into Optimized Locking in SQL Server 2025
SQL Server 2025 introduces significant improvements to the locking engine, including Optimized Locking and the new Lock After Qualification strategy. These enhancements fundamentally change how the engine acquires and holds locks, reducing contention and improving throughput under concurrent workloads.
In this deep dive, we will examine the internals of SQL Server’s locking behavior and how the 2025 improvements minimize unnecessary locks during query execution. We’ll analyze common contention scenarios—such as large updates, high-concurrency workloads, and lock escalation—and demonstrate how “lock after qualification” defers lock acquisition until rows are fully qualified, thereby reducing blocking and deadlocks.
You will see detailed demos using sys.dm_tran_locks, sys.dm_os_waiting_tasks, and other DMVs to inspect lock footprints, compare behaviors across access patterns, and evaluate strategies such as partitioning, index design, and transaction scoping. We will also discuss the interaction with features like RCSI, READPAST/skip locked, and explicit lock hints (UPDLOCK, HOLDLOCK, ROWLOCK) in the context of SQL Server 2025.
By the end of this session, you will have a clear understanding of how SQL Server 2025’s optimized locking engine works, how to monitor and troubleshoot blocking scenarios, and how to design queries and indexes to fully leverage these engine enhancements for maximum concurrency and stability.RedFri 10:00 - 10:50 -
Terraform + Microsoft Fabric = OneLove
At last year’s Fabric Community Conference (FabCon) in Las Vegas, Microsoft announced the general availability of the Terraform provider for Microsoft Fabric. This milestone has significantly narrowed the gap in automated management of Fabric resources. Terraform, HashiCorp’s industry-leading Infrastructure-as-Code (IaC) tool, now enables streamlined provisioning and management of Microsoft Fabric environments using code.
In this session, we’ll explore:
* Why Infrastructure-as-Code matters: Discover the value of coding your infrastructure for scalability, repeatability, and efficiency
* What’s possible with the Microsoft Fabric Terraform provider (& friends): Learn how to manage capacities, workspaces, connections, gateways, lakehouses, data pipelines, and other Fabric resources programmatically
* Current limitations and workarounds: Get a clear view of what’s supported, what isn’t, and how to address gaps
* Internal Git integration vs. IaC: What is the role of Microsoft Fabric’s built-in Git integration, where it complements and where it differs from the broader IaC approach
Whether you’re new to IaC or looking to optimize your automation with Microsoft Fabric, this talk will provide actionable insights to elevate your automation strategy.YellowFri 11:00 - 11:50 -
Building Next-Gen Digital Twins with Microsoft Fabric
Building Next-Gen Digital Twins with Microsoft Fabric involves leveraging the latest tools and technologies to create highly accurate and dynamic digital representations of physical assets. This session focuses on using Microsoft Fabric to develop Digital Twin solutions for Real Time Intelligence scenarios, and it will provide samples to illustrate these concepts. By integrating IoT, AI, and cloud computing, Microsoft Fabric enables real-time data collection, analysis, and visualization, enhancing predictive maintenance, operational efficiency, and decision-making processes. The platform provides seamless connectivity, scalability, and interoperability, driving innovation and transforming industries. Utilizing Microsoft Fabric for Digital Twin solutions paves the way for smarter, more responsive systems that adapt to changing conditions and optimize performanc
RedFri 11:00 - 11:50 -
MCP Unleashed From “Huh?” to “Heck Yeah!” Building Smarter AI Knowledge Bases
Discover the power of the Model Context Protocol (MCP), a groundbreaking, open framework designed to standardize and streamline interactions between AI models and client applications. As organizations increasingly rely on AI-driven tools, the need for consistent, reliable, and interoperable communication patterns has never been greater. MCP addresses this challenge by offering a unified protocol that enables models and applications to exchange context, capabilities, and data with clarity and precision.
In this beginner-friendly session, you’ll gain a solid foundation in how MCP works, why it matters, and how it fits into the broader AI ecosystem. We’ll walk step-by-step through the core concepts, architecture, and workflow of MCP, breaking down technical ideas in a way that’s accessible to newcomers and helpful for practitioners exploring integration strategies.
By the end of the session, you’ll apply what you've learned by building your first MCP server, giving you hands-on experience that you can take back to your own projects. Whether you're a developer, researcher, or simply curious about the future of AI interoperability, this session will equip you with the knowledge and confidence to start experimenting with MCP.
Join us to explore how MCP is shaping the next generation of AI-powered applications—and how you can be part of it.GreenFri 13:00 - 13:50 -
Deploy Smarter: Enterprise CI/CD in Microsoft Fabric Using fabric-cli and fabric-cicd
In recent months, Microsoft Fabric has introduced new capabilities to support enterprise-grade deployment workflows for data and analytics assets. This session explores practical strategies for setting up and managing CI/CD using two key tools: the official fabric-cli and the open-source fabric-cicd library developed by the community.
While both tools aim to simplify and automate deployments, they aim for different workflows and user needs. fabric-cli, Microsoft’s officially supported command-line tool, offers a straightforward and flexible way to manage Fabric resources—ideal for BI developers and teams seeking automation. In contrast, fabric-cicd provides a structured, code-first approach better suited to data engineering teams managing multi-environment pipelines and version-controlled templates.
Rather than recommending a single solution, we’ll walk through common deployment scenarios—such as publishing Power BI reports, parameterizing environments, and integrating GitHub Actions for automation—and compare how each tool supports them. The goal is to help attendees assess which option, or combination of tools, best aligns with their team’s skills, governance needs, and automation goals.
Whether you're a BI developer looking for quick wins or a platform engineer building scalable pipelines, you’ll leave with actionable insights for implementing CI/CD in Microsoft Fabric.YellowFri 13:00 - 13:50 -
A scalable dataplatform starts with reusable code: Metadata to the Rescue
Two new tables? No problem. A new data source? Sure. But why does it always feel like you have to rebuild your entire pipeline from scratch?
If you find yourself copy-pasting code just to ingest slightly different datasets, it’s time for a smarter approach.
In this session, you’ll learn how to design a metadata-driven data platform that adapts dynamically—no hardcoded paths, file formats, or load strategies. Just clean, reusable code guided by metadata that tells your pipeline or notebook what to load, from where, and how.
We’ll cover:
- How to structure and store metadata (like source type, load method, and schedule)
- How to build pipelines or notebooks that use this metadata at runtime
- How this metadata-driven approach works seamlessly across different tools—whether you’re using Databricks, Azure Data Factory, Microsoft Fabric, or any other platform.
- How this approach saves time, reduces duplication, and makes onboarding new sources effortless
Maintenance becomes a lot easier and scaling your platform is easy because your ingestion is metadata driven.
Want to save time and keep your code clean and clear when building pipelines? This session’s for anyone working on data platforms.RedFri 13:00 - 13:50 -
Database Deployment Automation using Database Projects & Azure DevOps
You have implemented Database Projects and Azure DevOps for database development successfully in your organization and you want to make your life easier by automating your database deployments? If the answer is yes, this session is for you!
At the beginning of this session, we will do a quick recap of Database Projects and Azure DevOps. Just to make sure that we are all on the same page.
During the session, we will set up an example build and deploy pipeline. Since there are a couple of ways to deploy changes from Azure DevOps to your target database, We will discuss a couple of scenarios and I will show you which method I'm using.
- 1 Pipeline to rule them all
- multi-step deployment
During this session, we will also cover the deployment pipeline differences between SQL Server and AzureSQL.
At the end of this session, you should have all you need to start with database deployment automation.RedFri 13:55 - 14:45 -
Building Event-Driven Architectures in Fabric
Event-driven architecture (EDA) is a design pattern in which the flow of data through the layers of the data platform (such as ETL pipelines) is determined by events such as user actions, sensor outputs, or messages from other programs. Event-driven architecture can enable real-time data processing and decision-making by reacting to events as they occur, facilitating timely insights and actions – which is the domain of Real-Time Intelligence in Fabric. But it can also be applied to a more batch-oriented platform such as the Lakehouse or Warehouse, where the flow of data is orchestrated by the events instead of the traditional fixed schedule.
This session will cover the basics of event-sourcing and messaging, as well as best practice when designing and building event-driven architectures. We’ll discuss the platforms and tools available to us in Fabric such as Real-Time Hub, but we will also cover which parts in the Azure stack to support us making Fabric event-driven.
You will learn how to build enterprise-scale event-driven solutions, with a demonstration of a full end-to-end streaming data solution built in Microsoft Fabric. We will cover how to optimize cost and scalability when building these solutions, ensuring that your solution is also resilient and performant when handling data in motion.
And last, but not least - even if your organization does not have much in the way of data in motion at the moment, you will learn how to build event-driven actions on a variety of event types and deliver value and insights quicker without relying on traditional batch and scheduling data integration solutions.PurpleFri 16:00 - 16:50
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Master Governance in Databricks Unity Catalog
Unity Catalog provides a host of different opportunities for governing and securing your data.
In this session we will move past the basics of user administration through simple privileges and dive into the world of policy-driven and domain-oriented access, covering automatic data classification, Attributed-based Access Policies (ABAC) and secure data sharing.
Learn to apply appropriate policies, tagging and row level filters and see how a policy-driven access control empowers a consistent approach to governing and securing your data, across all types of different applications such as SQL endpoints, Dashboards and even GenAI applications such as Genie.PurpleFri 10:00 - 10:50 -
A scalable dataplatform starts with reusable code: Metadata to the Rescue
Two new tables? No problem. A new data source? Sure. But why does it always feel like you have to rebuild your entire pipeline from scratch?
If you find yourself copy-pasting code just to ingest slightly different datasets, it’s time for a smarter approach.
In this session, you’ll learn how to design a metadata-driven data platform that adapts dynamically—no hardcoded paths, file formats, or load strategies. Just clean, reusable code guided by metadata that tells your pipeline or notebook what to load, from where, and how.
We’ll cover:
- How to structure and store metadata (like source type, load method, and schedule)
- How to build pipelines or notebooks that use this metadata at runtime
- How this metadata-driven approach works seamlessly across different tools—whether you’re using Databricks, Azure Data Factory, Microsoft Fabric, or any other platform.
- How this approach saves time, reduces duplication, and makes onboarding new sources effortless
Maintenance becomes a lot easier and scaling your platform is easy because your ingestion is metadata driven.
Want to save time and keep your code clean and clear when building pipelines? This session’s for anyone working on data platforms.RedFri 13:00 - 13:50 -
An Apache Spark query's journey through the layers of Microsoft Fabric
An Apache Spark Query's Journey Through the Layers of Microsoft Fabric
Join us for an exciting deep dive into the heart of Apache Spark! We'll take you on a journey to see exactly how your Spark queries get executed, both within Apache Spark itself and through the different layers of Microsoft Fabric. Here's what we'll explore together:
* Spark SQL and Catalyst: A break down how Spark SQL works hand-in-hand with the Catalyst optimizer to make your queries smarter and faster.
* A Note on Tungsten: Discover how Tungsten boosts Spark’s performance with better memory management and lightning-fast execution.
* A note on Fabrics native execution engine: Bringing the power of C++, for even faster query execution.
*Delta Lake: See how Delta Lake makes your data lakes more reliable and scalable, ensuring your data is always in top shape.
*Parquet Files: Learn why Parquet’s columnar storage is a game-changer for efficient data storage and quick retrieval.
We'll look into the official Apache Spark source code on GitHub, giving you a real, hands-on look at what's happening under the hood.
By the end of this session, you'll have a clearer understanding of how your queries run and some tools and tips to help you solve problems and optimize your Spark jobs for both speed and cost.BlueFri 15:05 - 15:55 -
Fabric meets Databricks
Microsoft Fabric and Databricks are the two major players when it comes to building data platforms on Microsoft Azure. Both have their very specific strengths and focus and there are also a lot of features that overlap. Sometimes it can be hard to chose the right tool to start your analytics journey with. In this session I will give you and quick overview of both technologies and quickly dive into the specific technical and non-technical nuances of each. The last part of the session will be about how the two platforms can play together and how to get the best out of both worlds.
YellowFri 15:05 - 15:55
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Performance optimization by identifying and correcting bad SQL code
This interactive workshop presents realistic examples of bad SQL programming that often lead to performance problems in practice. The aim of the session is to show participants how to identify, analyze and optimize inefficient SQL queries/SQL code in order to achieve significant performance improvements.
The workshop focuses on five to ten concrete, poorly implemented SQL coding scenarios. For each of these scenarios, the underlying problems are explained in detail and optimization approaches are then presented. Different techniques and best practices are presented that are essential for improving query speed and system efficiency.
With the help of practical lab exercises, load tests are generated to measurably compare performance before and after optimization. This allows participants to directly understand which measures lead to a significant reduction in response times and what impact they have on the overall system load.
At the end of the session, participants will have a better understanding of the most common pitfalls in SQL programming practices and will be able to perform in-depth performance analyses and make optimizations.RedThu 09:00 - 17:00 -
The Untruthful Art: Data Literacy In An Age Of Easy Answers
We like to think we're rational. But our brains are pattern-seeking, story-telling machines - and that makes us predictable.
Every piece of information passes through filters: how it was measured, described, visualized, and interpreted. Each layer loses fidelity. Each layer is exploitable. This session explores that gap, from manipulated axes and cherry-picked data to misleading comparisons and false causation. We'll see how these tricks combine in fake news, where outrage replaces analysis, and how AI is making deception faster, cheaper, and harder to spot.
But this isn't just a catalogue of tricks. The final part is about fighting back. I will share practical tools for spotting red flags, questioning charts, and building the habit of thinking before reacting.
Because data literacy isn't a skill you learn once. It's a discipline you practice every time you encounter a number, a chart, or a claim.YellowFri 10:00 - 10:50 -
Building Next-Gen Digital Twins with Microsoft Fabric
Building Next-Gen Digital Twins with Microsoft Fabric involves leveraging the latest tools and technologies to create highly accurate and dynamic digital representations of physical assets. This session focuses on using Microsoft Fabric to develop Digital Twin solutions for Real Time Intelligence scenarios, and it will provide samples to illustrate these concepts. By integrating IoT, AI, and cloud computing, Microsoft Fabric enables real-time data collection, analysis, and visualization, enhancing predictive maintenance, operational efficiency, and decision-making processes. The platform provides seamless connectivity, scalability, and interoperability, driving innovation and transforming industries. Utilizing Microsoft Fabric for Digital Twin solutions paves the way for smarter, more responsive systems that adapt to changing conditions and optimize performanc
RedFri 11:00 - 11:50 -
An introduction to SQL Server database projects
In this one hour session, you will learn the basics about SQL Server database projects (SSDT and/or SDK Style projects).
Topics covered:
- State based vs migration based deployment
- How Microsoft has implemented support for state based deployment using SQL Server database projects in Visual Studio.
- How database projects combine state based and migration based deployment.
- Working with schema changes in database projects.
- Common "gotchas" when working with database projects
After attending this session, you will understand the benefits and challenges with state based deployment. You will know enough to get started with SQL Server database projects in Visual Studio, Azure Data Studio or VSCode.PurpleFri 11:00 - 11:50 -
MCP Unleashed From “Huh?” to “Heck Yeah!” Building Smarter AI Knowledge Bases
Discover the power of the Model Context Protocol (MCP), a groundbreaking, open framework designed to standardize and streamline interactions between AI models and client applications. As organizations increasingly rely on AI-driven tools, the need for consistent, reliable, and interoperable communication patterns has never been greater. MCP addresses this challenge by offering a unified protocol that enables models and applications to exchange context, capabilities, and data with clarity and precision.
In this beginner-friendly session, you’ll gain a solid foundation in how MCP works, why it matters, and how it fits into the broader AI ecosystem. We’ll walk step-by-step through the core concepts, architecture, and workflow of MCP, breaking down technical ideas in a way that’s accessible to newcomers and helpful for practitioners exploring integration strategies.
By the end of the session, you’ll apply what you've learned by building your first MCP server, giving you hands-on experience that you can take back to your own projects. Whether you're a developer, researcher, or simply curious about the future of AI interoperability, this session will equip you with the knowledge and confidence to start experimenting with MCP.
Join us to explore how MCP is shaping the next generation of AI-powered applications—and how you can be part of it.GreenFri 13:00 - 13:50 -
Deploy Smarter: Enterprise CI/CD in Microsoft Fabric Using fabric-cli and fabric-cicd
In recent months, Microsoft Fabric has introduced new capabilities to support enterprise-grade deployment workflows for data and analytics assets. This session explores practical strategies for setting up and managing CI/CD using two key tools: the official fabric-cli and the open-source fabric-cicd library developed by the community.
While both tools aim to simplify and automate deployments, they aim for different workflows and user needs. fabric-cli, Microsoft’s officially supported command-line tool, offers a straightforward and flexible way to manage Fabric resources—ideal for BI developers and teams seeking automation. In contrast, fabric-cicd provides a structured, code-first approach better suited to data engineering teams managing multi-environment pipelines and version-controlled templates.
Rather than recommending a single solution, we’ll walk through common deployment scenarios—such as publishing Power BI reports, parameterizing environments, and integrating GitHub Actions for automation—and compare how each tool supports them. The goal is to help attendees assess which option, or combination of tools, best aligns with their team’s skills, governance needs, and automation goals.
Whether you're a BI developer looking for quick wins or a platform engineer building scalable pipelines, you’ll leave with actionable insights for implementing CI/CD in Microsoft Fabric.YellowFri 13:00 - 13:50 -
Security techniques for cross database access
Separation of data from procedures, functions and views is a common approach to protect data. If you deal with microservice architecutres you will quite often separate the "master data" from service data but need to have access to it.
What is the best practice to grant access to these data?
I will show you three common scenarios for discussion:
- Synonyms for remote data
- signed procedures
- TRUSTWORTHY options to access data
What do you think? What is the best approach to deal with these requirements?
In this session you learn the pro and the cons of each solution.PurpleFri 15:05 - 15:55 -
From Fabric to Fantastic: How dbt Makes Your Lakehouses and Warehouses Shine
Unlock the full potential of your Microsoft Fabric Data Warehouse or Lakehouse. This session dives into dbt, a tool that streamlines SQL development within Fabric. It lowers the barrier of entry into the world of data analytics to everyone who ever wrote a line of SQL. Learn how dbt empowers data teams with functionalities like data documentation, automated testing, and data lineage for reliable and insightful analytics.
BlueFri 16:00 - 16:50 -
Why Your Data Team Needs an AI Agent (Not a Chatbot)
"Just ask ChatGPT" has become the default answer for a lot of people for everything. But a one-shot prompt followed by copy-paste is not how you scale a data team's work. In this session, I'll introduce the concept of AI agents - not as a futuristic vision, but as a tool that works today within the Microsoft Fabric ecosystem.
I'll demonstrate how Claude, acting as an agent, plans, uses tools, and iterates on tasks: generating and debugging PySpark/Python notebooks, analyzing and creating Power BI reports using Rui Romano's plugins, building pipeline logic, and performing QA checks on code. All shown on live demos from real-world projects.
You'll walk away with a clear understanding of where AI agents save the most time, where they still fall short, and how to get started on your team - without big investments and without illusions.RedFri 16:00 - 16:50 -
Building Event-Driven Architectures in Fabric
Event-driven architecture (EDA) is a design pattern in which the flow of data through the layers of the data platform (such as ETL pipelines) is determined by events such as user actions, sensor outputs, or messages from other programs. Event-driven architecture can enable real-time data processing and decision-making by reacting to events as they occur, facilitating timely insights and actions – which is the domain of Real-Time Intelligence in Fabric. But it can also be applied to a more batch-oriented platform such as the Lakehouse or Warehouse, where the flow of data is orchestrated by the events instead of the traditional fixed schedule.
This session will cover the basics of event-sourcing and messaging, as well as best practice when designing and building event-driven architectures. We’ll discuss the platforms and tools available to us in Fabric such as Real-Time Hub, but we will also cover which parts in the Azure stack to support us making Fabric event-driven.
You will learn how to build enterprise-scale event-driven solutions, with a demonstration of a full end-to-end streaming data solution built in Microsoft Fabric. We will cover how to optimize cost and scalability when building these solutions, ensuring that your solution is also resilient and performant when handling data in motion.
And last, but not least - even if your organization does not have much in the way of data in motion at the moment, you will learn how to build event-driven actions on a variety of event types and deliver value and insights quicker without relying on traditional batch and scheduling data integration solutions.PurpleFri 16:00 - 16:50
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