REST APIs as Data Source in Power BI
In this session, we’ll explore how to use REST APIs as data sources in Power BI. We’ll start with the essentials of working with Web.Contents() function and discuss the most common authentication methods used in API connections. You’ll also learn how to handle pagination effectively to retrieve large datasets. The session focuses on practical examples, including tips and tricks to optimize your queries. The session will revolve mostly around Power Query and its M language.
From Throttled to Tuned: Squeezing the Fabric F2 with Native Python
For small companies, running Spark on a minimal Fabric F2 guarantees throttling. To ingest big data on a strict budget, you must drop the distributed overhead entirely. This session details the shift to optimized, single-node Python ingestion. Using real-world data, I will show how modern Python libraries use lazy evaluation and streaming for strict memory management. The takeaway: you can build a highly capable data engineering workflow on a minimal budget without significant downsides.
Fabric User Data Functions Interacting with Non-Fabric Items
If you like Fabric User Data Functions, but your entire setup is not within Fabric, can you still use them?
In this session, I will answer this question. The short answer is yes. In fact, if you want to save cash, it is probably even recommended.
I will show you exactly how to set up a User Data Function with native triggers from Power BI, utilizing Translytical task flows. I will walk you through the entire process: from writing the UDF code that integrates with your non-Fabric items, to syncing it with your Power BI report, and finally configuring the necessary permissions and governance.
You will leave with a blueprint for integrating your current solutions with Fabric without having to rebuild your stack or bleed your budget.
Text is Your Canvas: Developing Power BI Without a GUI
The past two years have been a revolution in how we natively develop Power BI solutions through code.
In this session, I will show you an alternative way to build real reports using a "Pro Code" approach where no GUI is required. I will cover everything you need to know to start developing right now using PBIP, TMDL, and MCP Servers, with collaboration in mind. I will show you how to build solutions just from typing.
The session should answer clearly whether you can realistically develop, test, and ship real-world Power BI solutions without opening the visual interface.
DAX Query: Next-Level Data Source Insights
Lost in a sea of reports with no clear view of your data sources? Sure, you could dig through them manually or use the Power BI REST API, but neither tells the full story. DAX Query changes that, and it’s super easy! With its latest capabilities, you can reveal every table, M transformation, SQL statement, and file path powering your reports.
In this session, we'll explore how to implement these insights effortlessly using many Microsoft Power components, giving you complete visibility and control over your data sources.
I Tortured Direct Lake So You Don’t Have To
Direct Lake is a great addition to the established Power BI storage modes, but simply using it like the others will not serve you well.
In this benchmark-driven session, I will share what I learned from rigorous Direct Lake testing in Microsoft Fabric. I will show how the underlying data design affects performance, how to keep frequently used data available quickly, how much it can cost overall, and which patterns Direct Lake follows when serving data to Power BI reports.
You will leave knowing when Direct Lake makes sense, how to design for it, and how to avoid paying for performance you do not actually get.
Power BI Day 2026
Dataflow Gen2: Evolution Power Query and the price for comfort
SQL Server Bootcamp 2025
How does Power Query evaluate your queries
Data Point Prague 2025 Sessionize Event
Power BI Day 2025
Modeling in Power BI: How does it work in real life
SQL Server Bootcamp 2024
Master Power Query - Introduction to M language
Power BI Day 2024
Master Power Query - Introduction to M language
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