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 Day Our Pipeline Became a Person's Full-Time Job
The day I realized our pipeline had become a person's full-time job.
Read →FinOps for Data Audit Checklist (8 Cost Levers)
Your cloud data bill grew 40% last year. Your revenue didn't.
Read →The Data Product Canvas (One-Page Definition)
An empty "consumers" field is the signal to deprecate the asset. Most teams ignore it.
Read →Blameless Post-Mortem Template for Data Incidents
Your data incident post-mortems end with "be more careful." That's not a fix.
Read →Data Platform Maturity Model (5 Stages)
Your data platform is at stage 2. You're copying stage 5 patterns. That's why it's breaking.
Read →When You Actually Need a Semantic Layer
Most teams buy a semantic layer the way they buy a data warehouse. Tool first, problem retrofitted.
Read →Data mesh is an org design pattern. Here are the 5 things you need before you st
Data mesh is an org design pattern. Here are the 5 things you need before you start.
Read →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 →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.