Ai
237 posts filed under Ai.
CAP Per Workload: Why One Consistency Model Doesn't Fit Your Whole Platform
Treating finance and customer analytics like the same workload is how you end up with a platform that serves neither well.
Read →Observability Turned Our Senior Engineers Back Into Builders
Six months ago our senior engineers were firefighters. Now they're builders again. The change wasn't a reorg. It was observability.
Read →Wardley Mapping Your Data Stack (Build, Buy, or Outsource?)
Your custom Airflow setup is not a competitive advantage. Your customer analytics model might be.
Read →Data Observability + Data Catalog: The Convergence
Your data team switches between four tools during an incident. That's about to change.
Read →The RACI Nobody Wants to Fill In (And Why That's the Problem)
Everyone agrees on "data ownership." Nobody agrees on who actually owns what.
Read →The Metadata Moment: When 'Where Is This Data?' Costs You Two Engineers
Two full-time equivalents on your data team do nothing but answer questions all day.
Read →Data Lineage: From 'Nice to Have' to 'Must Have
Without data lineage, every schema change is a game of "what did we just break."
Read →The Data Product Roadmap Template (3 Horizons)
Your data roadmap is a wishlist - here's the 3-horizon framework that turns it into strategy.
Read →2026 Data Hiring: From 'Find Unicorns' to 'Build Balanced Teams
The unicorn data engineer doesn't exist - but the balanced data team does.
Read →The "Just Use Excel" Moment (And Why It Happened)
When the CFO opens Excel instead of your dashboard, your data team has already lost.
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