Notes on dataarchitecture.
Short essays on architecture, cost, hiring and AI: one cartoon, one idea, most days of the week. No tutorials, no listicles.
Everyone says "people, process, technology." Then they start by picking Snowflak
Everyone says "people, process, technology." Then they start by picking Snowflake.
Read →You have 47 data quality issues. You can fix 5 this quarter. Here's how to pick
You have 47 data quality issues. You can fix 5 this quarter. Here's how to pick the right 5.
Read →Your data platform has 6 vital signs. Most teams only check 2 of them.
Your data platform has 6 vital signs. Most teams only check 2 of them.
Read →Hybrid work changed how your data team collaborates. Nobody adjusted the archite
Hybrid work changed how your data team collaborates. Nobody adjusted the architecture decisions for it.
Read →Consolidating from 15 tools to 7 in 2026. Three drivers, none of them innovation
Consolidating from 15 tools to 7 in 2026. Three drivers, none of them innovation.
Read →Most data catalogs go stale within a quarter. The teams that prevent it do one t
Most data catalogs go stale within a quarter. The teams that prevent it do one thing before procurement.
Read →Choosing between 3 data platforms? Stop comparing demos. Here's the radar chart
Choosing between 3 data platforms? Stop comparing demos. Here's the radar chart that makes it objective.
Read →Your data platform has 15 incidents per month. Is that normal or a crisis? Here'
Your data platform has 15 incidents per month. Is that normal or a crisis? Here's the benchmark.
Read →This company piloted Data Mesh with 2 domains in 6 months. Here's what worked (a
This company piloted Data Mesh with 2 domains in 6 months. Here's what worked (and what didn't).
Read →Your data testing pyramid is upside down. Here's how to flip it.
Your data testing pyramid is upside down. Here's how to flip it.
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.