Daan Humblé

Power BI used to be a tool you clicked your way through. Then PBIP turned your semantic models and reports into plain text (TMDL, JSON), and suddenly an entirely different toolbox showed up at the door: AI agents that can read, write, and reason about your model the same way they reason about code. This session is about what happens once you let those agents in. Not the marketing kind of "AI in Power BI", but the practical, sometimes scrappy, often surprisingly powerful kind: GitHub Copilot in agent mode, working on your PBIP files, with the right context loaded, the right skills wired up, and the right MCPs connecting it to Fabric. We'll start with a quick tour of why PBIP matters and what an "agent" actually is in this context. From there we go hands-on. Expect a lot of demos: Copilot writing DAX in TMDL, generating documentation, doing bulk model edits, reviewing pull requests, and chaining all of it together into workflows that feel a lot less like clicking and a lot more like delegating. We'll wire up an MCP so Copilot can talk to Power BI Desktop directly, and we'll show what changes when your agent stops guessing and starts looking things up. Throughout, we'll keep one question front and center: where does the agent earn its keep, and where is it still happily wrong with confidence? You'll leave with a clear sense of what's real today and a workflow you can replicate on Monday morning.

You thought you knew about Fabric Capacities, think again! In this session we'll cover everything related to those capacities that may be very near to your heart, or those capacities that even show up in your nightmares. Starting slow, we'll quickly burst through the main mechanics of how capacities work and how the utilization of your organization is taxed against your capacity. And yes, it'll require some brain gymnastics, but we'll also smoothen your questions on those pesky CUs and how you should think about them. After we grasp the basics, we can start to talking about managing these guys. And while that starts with monitoring, the value is really in understanding why bad things always happen specifically to your capacity. Once we understand, we can act reactively or even in real-time. Let's dive in and get a grip together. From there we shift gears into licensing and strategy. F-SKUs, reservations, autoscale, pause/resume, Copilot capacity, the works. We'll talk about what each one actually costs you, when it pays off, and where the marketing math quietly falls apart. Expect some real numbers, a few breakeven formulas you can do on a napkin, and clear opinions on the patterns that work for a small team versus a fully grown enterprise estate. The second half is all about automation and governance. Alerting that doesn't cry wolf, surge protection, chargeback you can actually defend, and Infrastructure-as-Code so your capacities stop being snowflakes. We'll also touch isolation strategies (one big capacity or many small ones?), workspace placement, and the operational habits that separate the teams who sleep well from the teams who don't. By the end of this session you'll walk away with a working mental model of Fabric capacity from CU all the way to cost center, a toolbox of monitoring and automation patterns you can apply on Monday morning, and hopefully one or two fewer nightmares. This is a deep dive. Bring coffee.

You’re familiar with Fabric Capacities and how some of the core concepts like Bursting, Smoothing, and Throttling are different from what you’ve seen in other products and solutions? Great!

You're part of an analytics team at a fast-growing tech company, relying on Power BI for key insights. But as your data and team grow, so do the challenges: messy files, unclear version history, and unwieldy data models. Then inspiration strikes - another team solved similar issues by adopting a structured project setup, using source control, and managing models with TMDL. You follow their lead. Months later, your workflow is streamlined, collaboration is smooth, and your reports are sharper than ever. This session shares the strategies that made that transformation possible - so you can apply them in your own Power BI projects. In this session, we will guide you through these strategies, demonstrating how to replicate this success in your own Power BI projects. By the end of this session, you will be equipped with practical knowledge and tools to optimize their Power BI workflows, ensuring their data analytics projects are well-organized, versioned, and scalable. We will start with a regular PBIX-file and gradually transform it into an organized, versioned model. Using Visual Studio Code, we will set up source control in Azure DevOps with the PBIP-format, apply TMDL and eventually integrate Git into the workspace. Note: This session assumes a basic understanding of Power BI. Fundamentals of source control and branching will not be covered.

In this training day, we’ll dive into the essentials of effectively governing and managing Power BI/Fabric environments. You will gain insight into key administrative tasks, capacity management, and monitoring best practices to ensure optimal performance and resource utilization within their Fabric deployment.

Imagine you're part of a dynamic analytics team at a rapidly growing tech company. Your team relies heavily on Power BI to create insightful reports and dashboards that drive key business decisions.

Imagine you're part of a dynamic analytics team at a rapidly growing tech company. Your team relies heavily on Power BI to create insightful reports and dashboards that drive key business decisions.