Schema
46 posts filed under Schema.
The Three Ways Applied to Data Pipelines
Your data team ships pipelines fast. That's the First Way. They're ignoring the other two.
Read →Data Product Operating Model
You wouldn't ship a software product without an owner, a roadmap, or a release process. Why do you treat your data differently?
Read →Technical Debt Cost Calculation
Slow pipelines are a symptom. The disease is poor architectural decisions nobody revisited.
Read →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.
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