Notes on dataarchitecture.
Short essays on architecture, cost, hiring and AI: one cartoon, one idea, most days of the week. No tutorials, no listicles.
If all you have is a hammer, everything looks like a nail.
If all you have is a hammer, everything looks like a nail. In data, the hammer could be the vendor you've already to committed to.
Read →Your most challenging problems aren't technical; they're ...
Your most challenging problems aren't technical; they're social. Stop calling them soft skills.
Read →Most teams can't even list the AI tools they've deployed.
Most teams can't even list the AI tools they've deployed. That's the problem.
Read →Hype doesn't deliver ROI. Solid architecture does.
Hype doesn't deliver ROI. Solid architecture does. The AI hype cycle is eating budgets - most won't see returns.
Read →Big bang modernization creates new debt faster than it clear
Big bang modernization creates new debt faster than it clears the old. Tech is only the visible part of legacy. The real weight is …
Read →Friction between DataOps and SysOps isn't about tools.
Friction between DataOps and SysOps isn't about tools. It's about ownership.
Read →Slideware isn't strategy.
Slideware isn't strategy. If it can't survive constraints, it's theatre.
Read →Your architecture is how you deliver.
Your architecture is how you deliver. Slow isn't about the team. It's about the design.
Read →AI doesn't kill architecture. Bad architecture kills AI
AI doesn't kill architecture. Bad architecture kills AI Most teams are deploying AI on loose ground.
Read →Most Data Strategies die in a slide deck.
Most Data Strategies die in a slide deck. If yours needs a PDF, it's already too slow.
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.