Power BI Brussels - Thursday 18th of April

Agenda

17:30 – 18:00:  Welcome & registration
18:00 – 18:05:  Event introduction
18:05 – 18:55: Session 1: What Fabric means for your Power BI Semantic Models by Kurt Buhler
18:55 – 19:25: Break
19:25 – 19:30: Hosting partner introduction
19:30 – 20:20: Session 2: Embedding Power BI reports on your own portal by Joël Vangrunderbeeck
20:20 – … : Networking

Location
Valkuren
@BeCentral
Cantersteen 10/12
1000 Brussels

Session info:
Title: What Fabric means for your Power BI Semantic Models
Presenter: Kurt Buhler
Ref: https://www.linkedin.com/in/kurtbuhler
Abstract: Microsoft Fabric brings many new features that will change the way that you build and use your Power BI semantic models (formerly datasets). To get the most from Power BI, you should know what these features are, as well as how and when to use them. In this talk, I’ll discuss: - What a Power BI semantic model is - Why it's so important in Fabric - Three example scenarios to illustrate how different teams choose and use the new Fabric features to build and use their semantic models to address pains and problems that they have in Power BI today. I'll also highlight the considerations these new features bring. In this talk, it's assumed that you've already heard the basics of Fabric features like Direct Lake storage mode, semantic link in notebooks, or Git integration. I'll focus on the "how and why" of these features, over the "what". By the end of this talk, you'll have a better understanding of how you might approach these new features for the semantic models you manage today, or will make in the future.

Title: Embedding Power BI reports on your own portal
Presenter: Joël Vangrunderbeeck
Ref: https://www.linkedin.com/in/jo%C3%ABl-vangrunderbeeck/
Abstract: Power BI is one of the best reporting tools on the market, but can get expensive if you want to share it outside of your organisation with unlimited users. Power BI embedded reports are a solution for this problem.

In this session the ins and outs of Power BI embedded will be explained and shown. Everything from licensing to the API calls you need to write / code you need to provide.