Notes on data, AI, IT
and security
No marketing fog. The way I think about real problems with founders and managers.
Data contracts between teams: why they matter and how they work
When data crosses team boundaries without explicit agreements, things break. A breakdown of what a data contract is and when you need one.
Cloud costs: what only becomes visible after migration
Why companies that moved to the cloud discover unexpected bills - and how to build cost visibility before it becomes a problem.
Data governance is about ownership, not committees
Why most data governance initiatives stall, and how to move from a formal committee to real accountability.
Data contracts: how teams agree on integration
Why most data integration problems between teams are problems of agreements, not technology.
Data mesh is about ownership, not about the platform
Breaking down the data mesh concept without the hype - why it is an organisational model first and a technical stack second.
Data ownership: who signs off on the number
In most companies data exists but no one is responsible for its quality. I look at what data ownership actually means in practice.
Real-time analytics: when it works and when it is expensive theatre
Streaming data and real-time dashboards have become a fashionable requirement. I look at when this actually solves a real problem.
Data mesh: what it means for managers, not engineers
The data mesh concept is gaining popularity. I break down what it actually means and when it makes sense for a real business.
Streaming data processing: does your company need it
What streaming data processing is, how it differs from batch processing, and in which real situations it is a justified choice.
Data catalog: what it gives you and when you can skip it
A practical look at a data registry: what it delivers, when it justifies the investment, and when it is premature complexity.
When a data lake turns into a swamp
Why data lakes often stop working one or two years after launch, and what to do about it.
A year-end data audit: five questions
The end of the year is a good time to check what state your company's data is in and what to fix before the new planning cycle begins. Five concrete questions for a leader.