Data Science & Analytics
Data Quality as Architectural Trust
You'll first build data-quality foundations — decision-relevant dimensions, expectations, controls, and observability — then use them to synthesize a bounded stewardship agreement. You'll be pushed to interrogate comfortable defaults: who really owns quality, what a control is actually worth, and how trust gets argued for in front of leadership.
4 lessons
12 practices
1 hour
Data Modeling and Schema Understanding

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