Knowledge resources
Sharing what we learn is part of how we work. We run free offline and online events, host two podcasts (one for data leaders, one for engineers), write about and share latest frameworks, tools and best practices in data and AI
DataDinners: Beyond Smart Buildings
For data leaders with building portfolios: unify multi-vendor data, from prioritisation to predictive maintenance, using data products.
December 17th, 2026: AI Hackathon For Data Engineers – XMas Edition 🎄
Free XMas AI hackathon for data engineers in Leuven, 17 Dec. Same LLM, your harness, tools and context. Food, drinks and our team included.
February 1st-5th, 2027: Data Engineering Bootcamp. One Week, Hands-On (Winter School 2027)
One intensive week in Leuven to go from basic Python to building full data pipelines with Spark, dbt and Airflow. For junior data folks.
Talk to your Data in Databricks: dbt, Metric Views & Genie Spaces
AI is only as good as the layer underneath it. In Databricks this is the Metric View: a semantic model that governs how data fits together.
Snowflake Intelligence: Just Ask Your Data
Snowflake Intelligence is a chat interface that turns plain English into SQL, giving business users answers without involving the data team.
AI Workflows in Agno: Building Deterministic Agents
Instead of letting a single agent roam freely across your data, Agno lets you build agents per data product.
Which AI Setup Should You Use?
Free chat, subscription, API, rented GPU or local model? How to pick the right AI setup based on your data first, workload second.
Migrating a Data Platform: 20% technology, 80% everything else
Data platform migrations rarely fail on tech, they fail on unclear success criteria, rushed discovery, and late-involved downstream teams.
Not Every Data Question Deserves a Full Data Product. And that’s okay
Why forcing every data request into a data product creates friction, and how Explorations make governed data access easier.
Data Producer Enablement and Developer Experience for Data Teams
Andrew Jones on data contracts, producer tooling and why access alone never solved self-service.
Data Contracts and Data Products: What AI Agents Need to Access Enterprise Data
AI agents need their own access rules. Simon Harrer, Entropy Data, on data contracts, data products and purpose-based access control.
Data Mesh After the Hype: Why Data Products Matter More Than Ever
Why Data Products outlasted Data Mesh, where Data Contracts fit, and how AI is changing modern data architecture.
September 29, 2026: Semantic Layers & Headless BI Webinar
Metric drift eroding your team's trust? Join our webinar on headless BI and semantic layers for humans and AI agents.
August 27th, 2026: From Scattered Data To Trustworthy Science
What it takes to turn scattered research data into a FAIR, AI-ready foundation, with a live look at the open-source Data Product Portal
May 28th, 2026: Sovereign Data Platforms
How to design data platforms that are portable by default, using open-source components, with a live deployment demo on UpCloud.
October 27-30, 2026: Big Science Business Forum (BSBF), Maastricht
We’re exhibiting at BSBF2026 in Maastricht, connecting Big Science, AI and data. Come meet us at our booth, Oct 27–30!
October 22, 2026: Trefdag Vlaanderen Digitaal 2026, Ghent
We’re joining Trefdag Vlaanderen Digitaal on Oct 22 in Ghent. Meet us at our booth and discover how we build AI-ready data products.
September 18, 2026: GET REHDY Symposium in Brussels
We’re speaking at Belgian Data Spaces Day! Join Stijn Janssens for a keynote on why data is hard and how data products can fix it.
