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Cześć.
Zapraszamy na 28 spotkanie użytkowników Power BI oraz Fabric w ramach roku akademickiego 2025/26.
Zapraszamy osoby pracujące Power BI i Fabric, jak również zainteresowane tymi technologiami czy dopiero rozpoczynające swoją przygodę z Business Intelligence.
Dotychczasowe poruszane tematy można zobaczyć na stronie Krakowskiej Grupy Power BI & Fabric (Meetup) oznaczane również #KRPBIFUG.
Spotykamy się w środę 2025-11-19 korzystając z uprzejmości Wyższej Szkoły Ekonomii i Informatyki w Krakowie.
Ulica św. Filipa 17. Sala PRAGA. Start o 18:00.
Jeśli chcesz przyjść, prosimy potwierdź obecność, jeśli nie możesz, po prostu odwołaj - dla nas kto cenna informacja.
A co tym razem? Rzuć okiem poniżej.

Agenda

  • 18:00 - 18:10 - Intro
  • 18:15 - 19:15 - Paweł Wrona - "Fabric Capacities Demystified: From Setup to Optimization" [EN]
  • 19:15 - 19:35 - Pizza Break & Networking
  • 19:35 - 20:35 - Ásgeir Gunnarson - "Workspace strategy for Lakehouse/Warehouse in Microsoft Fabric" [EN]
  • 20:35 - 21:00 - Outro & Networking

Bio prelegentów i abstrakty sesji
Paweł Wrona
I’ve been working with data analytics for around 10 years, including the last 7 years with Power BI and the past 2.5 years with Microsoft Fabric.
For the last three years, I’ve been the Power BI and Fabric Tenant Administrator at my company, responsible for both managing our resources and building end-to-end analytical solutions.
In my spare time, I run the blog “Off the Charts BI”, where I share insights and experiences around Power BI and Microsoft Fabric.
Abstrakt sesji:
In this session, I’ll talk about Fabric Capacities — what they really are, how the cost model works, how to manage and monitor your resources, ensure business continuity, and finally, how to optimize costs in Fabric environments.

Ásgeir Gunnarsson
Ásgeir brings nearly two decades of experience in designing and implementing scalable data platforms using Microsoft technologies. With deep expertise in data architecture, data engineering, and analytics, he helps organizations turn complex data landscapes into streamlined, high-performing solutions. In addition to hands-on delivery, Ásgeir advises clients on governance, security, and platform strategy.
As a recognized Microsoft Data Platform MVP and active speaker at global data events, he stays ahead of industry trends and brings cutting-edge insights to every project. In addition to speaking at events Ásgeir is a co-organizer of Data Platform Next Step, Power BI Next Step and Power BI Cruise in Denmark.
Ásgeir focuses primarily on the data technologies in the Azure cloud.
Ásgeir is the co-author of Pro Power BI Administration from APRESS and the Power BI MVP book
Ásgeir is passionate about data and loves solving problem with BI.
Abstrakt sesji:
Choosing the right workspace strategy is crucial for a successful implementation of Microsoft Fabric. Should you consolidate everything into one workspace, have separate workspaces for each stage, or create distinct workspaces for different workloads? Or perhaps something entirely different?
Several factors will influence your workspace strategy, including the size and composition of your development team, your DevOps strategy, and the need for workload/data isolation. Some of these considerations stem from the way Fabric operates, while others are due to security restrictions.
In this session, we will explore each of these factors and analyze their impact on your workspace strategy.
We will start with the popular Medallion architecture, as most teams use some version of it when building lakehouses/warehouses in Fabric.
Using the Medallion architecture, we will demonstrate how various factors affect workspace strategy and show ways to either work around or overcome these challenges.
This session is based on several Fabric projects in production, where I have encountered most of the challenges faced when designing the right workspace strategy.
By the end of this session, the audience will have a better understanding of the challenges in Fabric related to workspace strategy and the possible solutions. While there is no one-size-fits-all approach, starting correctly can significantly reduce the need for re-work or workarounds later on.

Events in Kraków, PL
Big Data
Business Intelligence
Data Analytics
Data Visualization
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