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
May 28th: Sovereign Data Platforms
How to design data platforms that are portable by default, using open-source components, with a live deployment demo on UpCloud.
Jun 24th: Data Dinners 2026
A co-hosted evening for data leaders on infrastructure, maturity, and agentic AI: talks, roundtables, and dinner.
Jun-Sep '26: Agentic AI In Production
The production story of an enterprise Agentic AI system, presented privately for senior data and AI leadership
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.
Data Platforms for humans
Data platforms fail when people are ignored. Why kindness and communication matter as much as architecture.
The Boring Stuff That Keeps You in the 5%
GenAI fails not because of models, but missing engineering, data, and product thinking. The “boring work” is what makes it real.
You Built a Data Mesh, But Your Metrics Are Still a Mess. Here’s Why.
Even with data mesh, metrics break: decentralized logic, no ownership, and cross-domain gaps. A semantic layer unifies KPIs.
The Data Challenge behind the Einstein Telescope
Tjonnie Li explains gravitational waves, the Einstein Telescope, and why the future of science depends on data engineering.
Scaling Data in Aviation: Inside Brussels Airlines’ Data Strategy
How Brussels Airlines transformed a broken data setup into scalable data products, enabling self-service and real business impact.
Machine Learning in Energy: Forecasting, MLOps, and Business Impact
Inside Luminus: how machine learning models move from experimentation to production to forecast electricity demand.
Metadata By Design: Make Your Data Products AI-Ready
AI agents need metadata to work but catalogs are not usually successful. Our approach is through process design.
Agent-Ready Data Products: Evolving Data Architectures For The Age Of AI
Data Products In Practice In 2026: Enabling People & AI Agents At Scale
State of Data 2026
A deep dive into the trends and building blocks shaping modern data-centric organizations.
Apache Spark Belgium Meetup - January 2026
Apache Spark Belgium Meetup: distributed computing insights, Spark performance tuning, and cost optimization. Jan 22 in Leuven.
Data Engineering Winter School 2026
Learn Best Data Engineering Practices to Industrialise Your Data Products
