22-25 April 2026

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.

Sessions for 2026

20 Years of the Cloud: What Changed, What Didn’t, and What’s Next
 

Brent Ozar leads a panel of experienced data professionals reflecting on 20 years of the cloud. With no vendor marketing, they discuss what actually changed, which problems never went away, and what they expect to face in the next 20 years based on real-world experience.

Best Practices for Sharing Power BI Content with External Users
 

In this session, we will cover typical scenarios for sharing semantic models and reports with external users. We will explore different methods to grant access, considering ease of use, maintenance, and security and compliance perspectives. By the end of the session, the audience will have a clear understanding of the available options for sharing semantic models and reports with external users, along with the pros and cons of each method. This will enable them to make informed decisions on the best approach for their organization

From Chaos to Control: Orchestrating Lakehouse Workloads in Microsoft Fabric Part 1
 

How to orchestrate a lakehouse flow in Fabric? Should you use Data Factory pipelines, notebook-driven orchestration, materialized views, or bring in a third-party orchestration tool? Each option has clear strengths, but also trade-offs that can become painful in production if chosen incorrectly. In this session, we take a deep, practical dive into the orchestration options available for Fabric lakehouses. We will break down how each approach actually works, where it excels, where it falls short, and, most importantly, when you should use one over the others. After attending this session, you will leave with a clear decision framework for choosing the right orchestration strategy for your Fabric lakehouse, confidently and deliberately, rather than by trial and error. Part 1 focuses on introducing what the options are and orchestrating with Data Factory

From Chaos to Control: Orchestrating Lakehouse Workloads in Microsoft Fabric Part 2
 

How to orchestrate a lakehouse flow in Fabric? Should you use Data Factory pipelines, notebook-driven orchestration, materialized views, or bring in a third-party orchestration tool? Each option has clear strengths, but also trade-offs that can become painful in production if chosen incorrectly. In this session, we take a deep, practical dive into the orchestration options available for Fabric lakehouses. We will break down how each approach actually works, where it excels, where it falls short, and, most importantly, when you should use one over the others. After attending this session, you will leave with a clear decision framework for choosing the right orchestration strategy for your Fabric lakehouse, confidently and deliberately, rather than by trial and error. Part 1 focuses on introducing orchestration via notebooks, materialized views and third party solutions

Panel Debate: Real-World Microsoft Fabric Administration - Lessons from the Trenches
 

In this panel debate, four practitioners with extensive, real-world Fabric experience come together to discuss what actually works when administering Fabric at scale. Benni de Jagere (Microsoft CAT), Just Blindbæk (Tabular Editor), Lars Andersen (Microsoft CAT), and Ásgeir Gunnarsson (data lab) will share hard-earned lessons from real production environments, covering both successes and mistakes. The discussion will focus on the most debated and misunderstood areas of Fabric administration, including tenant and capacity management, workspace strategies, governance models, monitoring, security boundaries, and operational ownership. Expect differing viewpoints, strong opinions, and honest answers

Previous Sessions