Notes on dataarchitecture.
Short essays on architecture, cost, hiring and AI: one cartoon, one idea, most days of the week. No tutorials, no listicles.
Communication Overhead Kills Data Team Velocity
You doubled your data team. Delivery got worse. Fred Brooks explained why in 1975.
Read →From EUR80K/Month Cloud Bill to EUR45K - The Optimization Sprint
This company cut their cloud data bill from EUR80K to EUR45K in 6 weeks. No functionality lost.
Read →Analytics Lead Time - The Time to Insight Metric
Your data team takes 2 weeks to answer a business question. That decision's already been made.
Read →The Five Ideals Applied to Data Teams
Gene Kim wrote The Unicorn Project about a developer trapped in bureaucracy. Data engineers live that story every day.
Read →The Shadow IT Problem - When Fast Beats Right
Shadow IT doesn't start with rogue employees. It starts when the gap between 'I need this' and 'we can deliver this' gets too wide.
Read →The 6 Dimensions of Data Quality
Data quality has 6 dimensions. Most teams only measure 2. Here's what you're missing.
Read →The Three Ways Applied to Data Pipelines
Your data team ships pipelines fast. That's the First Way. They're ignoring the other two.
Read →Platform Scaling Without Hiring
Five times the data. Same number of people. No new hires. The only way through? Rethink the architecture.
Read →Data Observability Practical Start
Data observability sounds expensive and complex. Here's how to start in one afternoon.
Read →Data Architecture Review - What's Actually Involved
A data architecture review uncovers hidden risks before they become expensive problems. Here's what mine covers and why most teams need one …
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.