Data Architecture & Strategy
103 posts filed under Data Architecture & Strategy.
Contract-First Data For Cross-Team Handoffs
Most cross-team data fights are caused by an undocumented assumption upstream.
Read →Orchestration Tool Audit For Small Data Teams
Two-engineer data teams keep picking Airflow because it's "industry standard." Six months in, half the DAGs are commented out.
Read →Semantic Layer Is A Consistency Tool, Not A Speed Tool
A semantic layer is a consistency tool. Most teams buy it for speed and end up disappointed.
Read →Software Modernization Is Not Architectural Modernization
Software modernization and architectural modernization are different problems with different fixes.
Read →The Data Product Canvas (One-Page Definition)
An empty "consumers" field is the signal to deprecate the asset. Most teams ignore it.
Read →Data Platform Maturity Model (5 Stages)
Your data platform is at stage 2. You're copying stage 5 patterns. That's why it's breaking.
Read →When You Actually Need a Semantic Layer
Most teams buy a semantic layer the way they buy a data warehouse. Tool first, problem retrofitted.
Read →Choosing between 3 data platforms? Stop comparing demos. Here's the radar chart
Choosing between 3 data platforms? Stop comparing demos. Here's the radar chart that makes it objective.
Read →This company piloted Data Mesh with 2 domains in 6 months. Here's what worked (a
This company piloted Data Mesh with 2 domains in 6 months. Here's what worked (and what didn't).
Read →Fitness Functions: Testing Your Architecture Like Code
You test your code. You test your data. But who tests your architecture? Here's how fitness functions change that.
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