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 Platform Scaling Checklist (When to Evolve)
Scaling too late costs you 6 months. Scaling too early costs you 18.
Read →Parts Unlimited" Is Your Data Platform
The Phoenix Project described a company drowning in unplanned work. Gene Kim called it Parts Unlimited. You might recognize the patterns.
Read →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 →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.