Mathias Halkjaer

Mathias is a data enthusiast with a great passion for the synergy between data analytics and cloud data platforms. As a Principal Architect at Fellowmind he works with building up clients' data capabilities, implementing data platform technologies and all-in-all maximize the impact of their their data. Being a Microsoft Data Platform MVP, he is very passionate about sharing anything with community, especially something around turning data into impact! With a background in Product Development and Innovation, Mathias brings a unique 'Data Product' perspective to the realm of data architecture, and is obsessed with the bigger picture. With his slightly rebellious attitude, he's not afraid to challenge the status quo and break industry norms to find new and better solutions.

Sessions for 2026

Beware! SQL Injection through ADF/Pipelines

In this lightning talk, we will explore the risks of using native SQL queries with dynamic content for Copy Activity Pipelines in Azure Data Factory (ADF). We will also discuss alternatives and mitigation steps.

Fabric Data Agents and beyond

In this session we'll uncover Microsoft Fabric Data Agents. We'll touch upon topics like the data modelling for AI, data agents, data agent SDK, MCP, and touch upon how to bring your agents to life with a mix of API and vibe coding.

Ingesting API data with Python Notebooks

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.

Mastering AI in Power BI

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.

Mastering Direct Lake

In this immersive hands-on workshop, we'll cover every facet of Direct Lake, from getting the basics right to advanced modeling and performance tuning - turning you into a pro Direct Lake modeler.

Navigating Data Modeling in Direct Lake

We explore how Direct Lake impacts traditional data modeling approaches, posing essential questions on star schemas, surrogate keys, SCDs, and other classical dimensional modeling techniques.

The Future of Data

Join this panel discussion on the future of data. Explore trends, real-world impacts, and governance, with audience questions driving an interactive, forward-looking discussion.

Vibecoding examples for data professionals

Rundown of a handful examples of applications vibecoded for personal and professional use, while sharing principles, inspiration cases, pitfalls and experiences.

Vibe-coding for the data professional

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.

When data lies - typical patterns for manipulating data

In this, part humorous, part eye-opening session, you will learn to detect malicious patterns in data that suggest foul play. We put ourselves in the shoes of a data villain and explore ways to make our data lie to the best of our ability.

Previous Sessions

Nose-Dive Narratives: Slide Karaoke 2024

Get ready to wrap up a serious day of learning with a dash of humor, spontaneity, and friendly competition! SQLBits presents "Slide Karaoke" where SQLBits speakers reveal their hidden talents while vying for bragging rights. This session promises to be a one-of-a-kind experience that will leave you in stitches and awe, and the speakers scrambling for their non-existent notes!

A deep dive into Direct Lake

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?

Advanced Power BI refresh with ADF/Synapse

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 go through an example implementation as well as a step-by-step demo of how you can set this up yourself.

Supercharge Power BI with Azure Synapse Analytics

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.