I'm giving a presentation at Exasol and my worst-case scenario comes true.
No one understands what I'm saying.
I talked about technical modeling for data warehouse automation.
Feedback afterwards?
“We didn’t understand a word.”
And these aren’t bad people.
They are motivated data engineers.
Python. Notebooks. Cloud. Everything is there.
But what’s missing?
- A fundamental understanding of data architecture.
- Structured modeling.
- Systems thinking.
In Germany, we train people who can use Jupyter, but don’t understand how companies really need to organize data.
And then we wonder why IT projects fail.
In the Netherlands, universities offer real courses in data management and modeling.
Here?
Tool training with an academic veneer.
- We talk about AI sovereignty.
- About digital transformation.
- About AI strategies.
But we don’t teach anyone how to build clean data structures.
It’s like training pilots who can operate autopilot perfectly but don’t know how an airplane works.
Without a real data foundation, Germany will remain only a user when it comes to AI.
Not a designer.
What do you think?