Data Science & Analytics
Semantic Foundations for Data Architects
You'll compare architectural perspectives, break an ontology into its working parts, and use controlled vocabulary to align product, analytics, and governance on shared meaning. You'll practice diagnosing semantic ambiguity and reframing disputed terms before they become architectural trust problems.
4 lessons
12 practices
1 hour
Metadata Management and Data Cataloging

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