Resources
We value sharing knowledge through organizing events, hosting webinars and writing blogs.
State of Data 2026
A deep dive into the trends and building blocks shaping modern data-centric organizations.
Technology Explorations in Data
Paying Too Much for Azure Logs? How Basic Logs Can Cut Costs by 60%
Azure Log Analytics costs often take up 20% or more of a cloud bill, even though most teams only check logs when something breaks.
Cross-Project AI Code Assistance using Cursor Workspaces
Cursor Workspaces lets you pin multiple repositories into a single indexed workspace so your AI agent can work across multiple codebases.
Build an AI Agent in 5' with MindsDB
Build a RAG-based AI agent with MindsDB. Turn files and SaaS data into a semantic knowledge base and query everything with natural language.
Moving Google Drive Documents to Postgres using Python
Turn messy Google Drive documents into structured Postgres data - fast. See how PyAirbyte solves scattered knowledge chaos.
How AI Can Supercharge Data Teams: Real Example with MCP + Postgres
See how AI agents can now talk directly to databases accelerating debugging, analysis, and development.
3x Faster Prompting with Speech-to-text? A Quick Look at Whisper & SuperWhisper
Can speech-to-text make you 3x faster? 🚀 Emil & Jonny test Whisper vs. SuperWhisper to boost AI productivity.
You Don’t Have a Data Platform Without Excel
The Most Used Feature is “Export”: Why Your Data Stack Needs a Spreadsheet Strategy
How Knowledge Graphs, Dimensional Models and Data Products come together
In a data-driven organisation data assets should be modelled in a way that allows key business questions to be answered.
Using AWS IAM with STS as an Identity Provider
How EKS tokens are created, and how we can use the same technique to use AWS IAM as an identity provider.
How OBI Built a Lean, High-Impact AI Function That Scales
How OBI builds high-impact AI use cases : From GenAI realism to team structure, impact-first use cases, and avoiding the hype.
A Structured Framework for Building Successful Data Solutions
In this episode we talk with Frederic Vanderveken about a practical framework to make sure you’re building the right data solutions.
Data Science vs Data Engineering: Breaking the Wall
Breaking the wall between data science and data engineering with practical lessons on testing, notebooks, and production-ready data work.
Data Products In Practice In 2026: Enabling People & AI Agents At Scale
European Clouds vs. Hyperscalers: Can You Really Build a Sovereign Data Platform?
Getting Data Done in Healthcare - Lessons from the Frontlines
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
PyData Belgium Meetup #2
PyData Belgium Meetup on Nov 20 in Leuven - join us for talks, networking & Python fun! Call for speakers now open.
