Ásgeir Gunnarsson

As organizations mature their Microsoft Fabric platform, standard reports and curated semantic models are often no longer enough. Business teams want greater flexibility.

You have built a lakehouse in Microsoft Fabric. The notebooks are in place, data is flowing through the layers, and transformations are working. Now comes the hard question: how do you orchestrate it all, reliably, scalably, and in a way that fits real-world workloads? 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. Through concrete scenarios and production-proven examples, we will compare orchestration patterns for batch processing, dependencies, retries, monitoring, and operational complexity. This is not a theoretical discussion. The session is grounded in real implementations used in production Fabric environments, including the challenges, pitfalls, and lessons learned along the way. 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.

You are a data warehouse developer that´s been using SQL Server on-premise or in Azure to build your data warehouses. You are comfortable in writing SQL scripts, stored procedures and creating views to fuel your data warehouse.

If you’ve been working in Power BI, you’ve likely noticed the steady transformation of the portal over the past few years. With the introduction of Microsoft Fabric, the experience has evolved, but your day-to-day Power BI workflows still work as before.

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...

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....

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 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)...

Join us for a comprehensive workshop designed for Fabric administrators and those who want to understand the administrative capabilities within Microsoft Fabric. Whether you are stepping into the role of a Fabric administrator, aspire to do so, or simply want to collaborate more effectively with administrators, this…

If you are a Power BI user, you might have noticed all the changes to the Power BI portal for the last year. Microsoft introduced Fabric as a part of the Power BI portal and renamed everything.

As organizations increasingly rely on Microsoft Fabric for their data needs, effective monitoring becomes essential—not just for performance optimization, but also for ensuring security, tracking adoption, and maintaining compliance. In this session, we’ll explore the full spectrum of monitoring options in Fabric. You’ll learn how to leverage Microsoft’s built-in tools—such as the Monitoring Hub, Admin Monitoring workspace, and Workspace Monitoring—to gain valuable insights and improve operational efficiency. We’ll also introduce the Fabric Unified Admin Monitoring (FUAM) solution—a powerful, open-source framework developed by the community and supported by Microsoft. FUAM bridges the gap between built-in tools and fully custom monitoring by offering a scalable, extendable approach to tenant-wide visibility. Finally, we’ll demonstrate how to take things further by building your own monitoring pipelines using Fabric Data Factory and Fabric Spark, tailored to meet specific organizational requirements. By the end of this session, you’ll have a solid understanding of what’s available out of the box, how FUAM can accelerate your admin insights, and how to develop custom solutions when you need maximum flexibility. Whether your goal is to save time, reduce costs, or strengthen your data governance, this session will equip you with the knowledge to succeed.

As organizations increasingly rely on Microsoft Fabric for their data needs, effective monitoring becomes essential—not just for performance optimization, but also for ensuring security, tracking adoption, and maintaining compliance. In this session, we’ll explore the full spectrum of monitoring options in Fabric.

Join us for a comprehensive workshop designed for Fabric administrators and those who want to understand the administrative capabilities within Microsoft Fabric.

It might sound simple but choosing the right workspace strategy it crucial to a successful implementation of Data Engineering solution in Microsoft Fabric. Should you add everything in one workspace, have one workspace per stage, one workspace per workload or something entirely different?

Discover how to optimize Fabric tenant management with built-in tools like the Monitoring Hub and custom solutions using Data Factory and Spark. Learn to track system health, ensure compliance, and gain insights to boost efficiency and reliability in your data platform.

Join us for a comprehensive workshop designed for Fabric administrators and those who want to understand the administrative capabilities within Microsoft Fabric.

You are a data warehouse developer that´s been using SQL Server on-premise or in Azure to build your data warehouses. You are comfortable in writing SQL scripts, stored procedures and creating views to fuel your data warehouse.

Monitoring Fabric, make do, buy or build In the ever-evolving landscape of Fabric tenant management, obtaining a holistic overview is of paramount importance. There are several ways you can monitor the content of your Fabric tenant and the activities of your users. Microsoft has some things out of the box such as the Monitoring Hub and the Capacity Metrics app. You can also buy ready-made solutions from different vendors, or you can build your own solution. What you choose depends on many factors but most importantly what do you want to get out of the solution. In the first half to this session, we will cover what the built-in capabilities cover, we will talk a little about why you might buy a ready-made solution (we will not compare different solutions on the market) and then we will talk about how you can build your own solution. The second half of the session will focus on what you need to build your own solution and how you can take advantage of things the community has created. We will look at solutions build in Fabric Data Factory as well as coded solutions build in Fabric Spark. At the end of the session the audience will understand how to be sure if the built-in capabilities are enough, if buying is right for them or if they should build their own solution. They will also know what it takes to build your own solution and how to jumpstart the process by using solutions the community has made publicly available for free.

Many people have heard about the Medallion architecture (gold, silver and bronze). When you start working with Microsoft Fabric is that really all you need to know about how to architecture your solution?

Monitoring Fabric, make do, buy or build In the ever-evolving landscape of Fabric tenant management, obtaining a holistic overview is of paramount importance. There are several ways you can monitor the content of your Fabric tenant and the activities of your users.

When you are a smaller organization, doing analytics in the cloud might look unpredictable and expensive. All the vendor material is aimed at larger organizations with the complexity and cost that comes with that segment. What if you just want a “simple” data warehouse and some reports on top of that? What if you have only one major source system and a few other smaller sources? Well, there is hope for you. Microsoft offers a lot of options when it comes to analytics in Azure. The problem for smaller organizations is to find the right solution which does not break the bank and does not take months to implement. In this session we will talk about a pattern implemented for several smaller organizations in the private and public sector. We will use a smaller retail organization as our example and talk about the competencies needed and what technologies were chosen and why. We will start by describing the organization, what challenges they faced and the competencies they had. Then we will see how the pattern fits and of course describe the pattern in detail. Spoiler alert: It´s not rocket science. It´s a classic modern data warehouse with a data lake and Power BI on top. What is interesting is why this pattern works for organizations of that size and what makes it cost effective and above all simple to maintain. The audience will come away with a clear understanding why this pattern fits smaller organization and why it´s cost effective and simple to maintain.

When you rollout Power BI in an organization it´s important to engage user and help them so they feel comfortable using the tool. Training is a big part of that but active user community is also very important.

When you rollout Power BI (or any other tool for that matter) in an organization it´s important to engage user and help them so they feel comfortable using the tool. This is specially important when you rollout self-service tools. Training is a big part of that but active user community is also very important. The end goal is to help users help each other and themselves but it doesn’t happen by itself. In this session you will hear about how you can setup a successful Power BI community in your organization. This presentation is based on a real use case where a successful Power BI user community has been running for almost two years. You will hear about it from two different perspectives. Technical perspective and a organizational perspective. Both perspectives are important and it´s hard to see how a user group can be successful without them both being successful. The technical perspective will go into how you make sure you have the right tools and the right technical know how to make sure users get their questions answered and get some technical knowledge out of the community? If the users don´t see value they stop attending. The organizational perspective will go into how you setup the right structure for the community to succeed and prosper? It will also talk about how you manage such a community and what kind of backing is needed to make it a success? The attendees will take away advice and concrete suggestions on how to run a successful user group in their organization.

When you rollout Power BI in an organization it´s important to engage user and help them so they feel comfortable using the tool. Training is a big part of that but active user community is also very important. The end goal is to help users help each other and themselves but it doesn’t happen by itself. In this session you will hear about how you can setup a successful Power BI community in your organization. This presentation is based on a real use case where a successful Power BI user community has been running for almost two years. You will hear about it from two different perspectives. Technical perspective presented and a organizational perspective. Both perspectives are important and it´s hard to see how a user group can be successful without them both being successful. The technical perspective will go into how you make sure you have the right tools and the right technical know how to make sure users get their questions answered and get some technical knowledge out of the community? If the users don´t see value they stop attending. The organizational perspective will go into how you setup the right structure for the community to succeed and prosper? It will also talk about how you manage such a community and what kind of backing is needed to make it a success? The attendees will take away advice and concrete suggestions on how to run a successful user group in their organization.

In this session we will demonstrate how to create value fast with Power Automate. We will do this by showing 5 types of flows that can give value with little development effort

Workspaces allow Power BI users to collect together datasets, reports, dashboards, dataflows and other Power BI objects and control access. As such the workspace is a central component in any Power BI deployment strategy. What is the best way to manage workspaces? The answer to that question (like so many others) is that it depends. In this session we will cover the most common ways to manage Power BI workspaces and try to uncover what method works best for different scenarios. We will try to touch on the whole lifecycle of the workspace from creation until deletion. We will cover scenarios ranging everyone can create workspaces and manage them to automated workspace creation via a workflow which are managed by administrators. What we will cover: • Different ways to create workspaces o Manual  User can create workspaces  Only certain users/groups can create workspaces o Automatic  Simple workflow without approval  Complex workflow with multiple approvals • Managing workspaces o Manual  User manages their own workspaces  Admins manage all workspaces  Hybrid of the above o (Semi) Automatic  Using APIs to manage certain aspect of workspaces such as monitoring and deletion • How workspace creation and management fits into the most common content Lifecycle Management methods for Power BI The audience will take away knowledge of different methods to manage workspaces and ideas on how to automate some aspects of it.

In this training session we will cover everything you need to know as a Power BI administrator or Power BI responsible. We will use theory and practice to learn concepts and apply them. This full day course has four parts. Part 1 Administrating Power BI - 1,5 hours We will provision a Power BI environment, we will look at the main settings and figure out which of them are important and how the should be set according to best practices. Part 2 Power BI Premium - 1 hour We will setup Power BI premium and look through the administration options when it comes to dedicated capacity. Part 3 The Power BI On-premises Data Gateway - 1 hour We will investigate the role of the Enterprise Gateway, set it up, configure it and talk about how to administer it. Part 4 Power BI Governance - 3,5 hours We will look at Power BI governance and see how you can set governance strategy, create processes and roles and lastly but not least how you can monitor your Power BI environment.

When your development team is up to a certain size and often no matter what size it is you want to start following best development practices. These include things like source control, multiple environments, deployment processes and governance.

When your development team is up to a certain size and often no matter what size it is you want to start following best development practices. These include things like source control, multiple environments, deployment processes and governance.

As Power BI is a self-service tool it can be hard for administrators to monitor it. Power BI is fast improving in this context but there still isn’t a consistent way of monitoring it. In this session you will hear about using the Power BI Audit log and the Power BI APIs to monitor Power BI to ensure compliance, governance, performnace and good inplementation.