Notes on dataarchitecture.
Short essays on architecture, cost, hiring and AI: one cartoon, one idea, most days of the week. No tutorials, no listicles.
The Data Trust Paradox - Why 67% Don't Believe
Data trust is asymmetric. You lose it fast. You earn it slowly.
Read →Technical Debt Is Like Credit Card Interest - It Compounds
Think of technical debt like a credit card. Your data platform maxed it out years ago. Your engineers? They're stuck paying the minimum …
Read →Data Consultancy vs Data Products - The Expensive Confusion
A data team that only consults will never scale. A data team that only builds will never be used.
Read →What Is a Data Architect?
Data engineers solve problems. Data architects help decide which problems are worth solving.
Read →Architecture Advisory: The 3 Questions I Ask First
In week one of any architecture review, I ask the same 3 questions.
Read →Why Your AI Project Failed at the Data Layer
Rule of thumb: AI success is 20% model and 80% data infrastructure.
Read →Legacy Modernization: Break or Transform
Some legacy systems should be replaced. Most should just be wrapped.
Read →Hero Dependency: Why Your Best Work Makes You Replaceable
The best proof of your value is a team that doesn't need you anymore.
Read →Shadow Data Costs Your Team 8-9 Hours/Week
Your team can lose 8-9 hours/week to shadow data. And they actually don't call it that.
Read →GenAI Risks: The Billion-Euro Wake-Up Call
GenAI failures are poised to cost enterprises billions in wasted budget. Many won't be tech failures.
Read →Want expert eyes on your data architecture?
No pitch. An honest conversation about whether I can help, and what shape it would take if I can.