Schema
43 posts filed under Schema.
T-Shaped Monitoring Model
Monitoring all your data equally is why you're drowning in alerts. Here's the smarter approach.
Read →Metadata Management ROI
Engineers losing 10-20% of their time to repetitive questions. Most teams don't even measure it.
Read →Data Quality Testing Layers
Testing data quality after transformation is like tasting the dish after it's plated. Too late.
Read →Event-driven architecture coordination tradeoffs
You adopted EDA to reduce dependencies. You just traded runtime coupling for design-time coupling.
Read →mise en place for data teams
Skip your prep and service falls apart. Every chef knows this. Most data teams learn it the hard way.
Read →Platform Review: What I Find in Week One
In week one of every platform review, I find the same five problems. Your company probably has at least three.
Read →Architecture Advisory: The 3 Questions I Ask First
In week one of any architecture review, I ask the same 3 questions.
Read →Why Your AI Project Failed at the Data Layer
Rule of thumb: AI success is 20% model and 80% data infrastructure.
Read →Process Debt Is Worse Than Technical Debt
You can refactor code. Try refactoring a six-person approval chain.
Read →Why Your Lakehouse Became a Swamp
Your lakehouse became a swamp. And it wasn't a technology problem.
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