Mathias Halkjaer

Our tech experts usually take the stage across Europe to talk about modern data platforms, data strategy, cloud architectures, analytics engineering, governance, Databricks, Azure, and scaling data the “right” way. But in this 8‑minute lunchtime session, 2 of our Microsoft MVPs will present a topic they don’t know in advance, using slides they’ve never seen before.

A full end-to-end masterclass on AI in Power BI. During this training day, we’ll cover every corner of AI in Power BI, from preparing data for AI to bringing your Power BI AI assets to life with MCP.

In this session, we'll dive into the Direct Lake, the new Power BI storage mode that seamlessly blends DirectQuery's real-time capabilities and Import mode's performance. We unravel how this promising technology impacts traditional data modeling approaches, posing essential questions on star schemas, surrogate keys,…

Learn how to explore REST APIs, read documentation, authenticate, and prototype API calls using external tools. Build Python functions and notebooks to load REST API data into Microsoft Fabric efficiently.

A full end-to-end masterclass on AI in Power BI. During this training day, we’ll cover every corner of AI in Power BI, from preparing data for AI to bringing your Power BI AI assets to life with AI.

We’ll explore how Data professionals can use vibe-coding to build small applications around data workflows, speed up transformations with AI-powered workflows, and collaborate with AI to iterate faster.

A full end-to-end masterclass on AI in Power BI. During this training day, we’ll cover every corner of AI in Power BI, from preparing data for AI to bringing your Power BI AI assets to life with MCP.

In the era of AI, the ability to quickly and easily draw insights and answers from our data, is as important than ever, and being able to ask those questions in plain human language. In this session we'll uncover the possibilities of combining Microsoft Fabric with external AI tools to enable scenarios to utilize your…

In this session, we’ll dive into the Direct Lake, the new Power BI storage mode that seamlessly blends DirectQuery’s real-time capabilities and Import mode’s performance. We unravel how this promising technology impacts traditional data modeling approaches, posing essential questions on star schemas, surrogate keys, SCDs, and other classical dimensional modeling techniques.

You already know the basics—Perhaps you already implemented Row-level security in organizations with more than average security requirements. So what is the next step?

Want to refresh your Power BI Datasets in ways the service doesn't allow you to, out of the box? There are a few reasons why the UI in Power BI isn't sufficient for optimal dataset refreshing in Power BI.

In today's data-driven landscape, creating an efficient data structure for your data lake has become an indispensable part of any successful data management strategy. It's no longer sufficient to merely land your data in a data lake - it's critical to plan your data structure ahead of time to maximize utility and performance. In this enlightening session, we will delve into the importance of pre-emptive planning for your data structure. We will explore how a well-thought-out data structure can dramatically enhance the efficiency of security, partitioning, and processing strategies. Attendees will gain insights into best practices for structuring data and will learn techniques to leverage these structures for optimal performance. This session aims to equip you with the knowledge to harness the power of your data lake effectively

Azure Synapse Analytics is a powerful data platform, but it can also be expensive if you don't know what you're doing. In this session, we will go through the different components of Azure Synapse Analytics and discuss how to design a cost-effective data platform. We will cover topics such as choosing the right pricing tier, optimizing data storage and processing, and leveraging built-in cost management features. We will also discuss how to optimize your data platform for cost efficiency by using features such as serverless compute, pre purchase compute and reserved capacity. Attendees will leave with a better understanding of how to design and manage their Azure Synapse Analytics platform for cost efficiency and how to design a cost-effective data platform that meets your organization's needs. Topics we will cover: - Pricing Models for compute Resources in Azure Synapse Analytics - Storage Types and Tiers - Pricing Models - Optimizing Cost with Resource-Scaling - Using serverless compute and reserved capacity options for cost savings

The new Direct Lake storage mode in Power BI promises to revolutionize data handling by blending the real-time nature of DirectQuery and the high performance of Import mode. Is this all just hype, or does Direct Lake truly deliver on these claims?

In this session, we will explore various methods for tracking data history, so that you can provide your users with the ability to answer questions about how your data has changed over time.

Azure Synapse Analytics is a powerful data platform, but it can also be expensive if you don't know what you're doing. In this session, we will go through the different components of Azure Synapse Analytics and discuss how to design a cost-effective data platform. We will cover topics such as choosing the right pricing tier, optimizing data storage and processing, and leveraging built-in cost management features. We will also discuss how to optimize your data platform for cost efficiency by using features such as serverless compute, pre purchase compute and reserved capacity. Attendees will leave with a better understanding of how to design and manage their Azure Synapse Analytics platform for cost efficiency and how to design a cost-effective data platform that meets your organization's needs. Topics we will cover: - Pricing Models for compute Resources in Azure Synapse Analytics - Storage Types and Tiers - Pricing Models - Optimizing Cost with Resource-Scaling - Using serverless compute and reserved capacity options for cost savings

After this session, you will be able to conceptualize and implement different Power BI refresh scheduling patterns in ADF/Synapse. You’ll learn what limitations in Power BI you can overcome with an “external” orchestration tool as well as the different building blocks available. Finally, we will...

In this session we will cover how to architect an end-to-end enterpise analytics platform so that we utilize the best of both worlds. The extremely versatile ETL capabilities of Synapse and the powerful data modelling in Power BI.

Either you want to dip into the realm of Azure Synapse Analytics, or you may already have and feel overwhelmed! What are all these new technologies, design patterns, and terminologies around building a data platform? Are Data Lakehouses a must-have, or will a simpler classic SQL-based architecture suffice? Tag along with this session where we will guide you through the rabbit hole and cover three of the current major paradigms in data platform architecture; Serverless Logic Data Warehouse, Classic SQL Warehouse, and the Data Lakehouse with Databricks How to choose and get the best out of your choice? In this session, we will cover what you need to understand the different approaches and knowledge needed to use and choose between the different frameworks. After attending this session you should feel confident about what direction to move your own data platform and feel inspired by the demos and examples presented. Topic: - Data Platform Paradigms - Understanding the core principles of the three - Evaluating solution fit - Practical implementation