Data Architecture
20 posts filed under Data Architecture.
Event-driven architecture coordination tradeoffs
You adopted EDA to reduce dependencies. You just traded runtime coupling for design-time coupling.
Read →AI-Ready Means Data-Ready
Your AI strategy won't save you if your data is a mess. Gartner says 80% of digital organizations risk failure without modern data …
Read →Data Mesh vs Reality - Why Silos Return
You decentralized your data team. Now you have 10 data silos instead of 1.
Read →The Data Trust Paradox - Why 67% Don't Believe
Data trust is asymmetric. You lose it fast. You earn it slowly.
Read →Shadow Data Costs Your Team 8-9 Hours/Week
Your team can lose 8-9 hours/week to shadow data. And they actually don't call it that.
Read →The Dashboard Nobody Trusted
We built the perfect dashboard. Nobody used it.
Read →Data Quality Crisis - 77% Admit Failure
Everyone is in data. But only one team gets the blame when it breaks.
Read →Do you actually know what a "data product" is?
Do you actually know what a "data product" 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 →Legacy doesn't explode. It decays.
Legacy doesn't explode. It decays. By the time it's urgent, you're already behind.
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