Philip Seamark

Phil will walk you through the techniques used by the Power BI team when debugging and optimising DAX in large enterprise models. These equally apply for small and medium size models.

This session presents a practical walk-through of a real-world Power BI solution designed to support 20,000 users at Microsoft. It explores how a notebook-driven method can streamline load testing—from capturing DAX queries and configuring row-level security (RLS), to stress-testing capacity under high concurrency,…

Great reports start with great models—and great models are designed, optimised, and proven. In this full‑day, hands‑on workshop you’ll learn how to build Power BI semantic models that stay fast as they grow.

Creating custom visuals used to be slow and complex. In this session, see how modern AI tools and the Power BI Visuals SDK turn that challenge into a fast, approachable process.

Join Phil for an in-depth session on the techniques the Power BI team uses to debug and optimise DAX in large enterprise models—methods that work just as well for small and medium-sized models. You’ll learn how to identify slow-running DAX calculations and apply proven strategies to make them faster.

This session shares a real-world example of how Microsoft used Fabric to ensure a Power BI solution could handle 20,000 internal users. Large-scale deployments require confidence in performance, and this approach demonstrates how to achieve that.

Join us for an immersive, hands-on 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.

Phil will walk you through the techniques used by the Power BI team when debugging and optimising DAX in large enterprise models. These equally apply for small and medium size models.

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.

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…

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.

Join us for an immersive, hands-on 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.

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.

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.

In this session you will learn all you need to know about DirectLake, how does it work? What is the difference with import? We will get you ready to decide if you should use DirectLake for your new project and what all the things you should know for your project.