22-25 April 2026

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.

Proposed 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.

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.