Job category: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
Badge for Metadata Management and Data Cataloging,
Metadata Management and Data Cataloging

Course details

Choosing Architectural Perspectives
Choosing the Right Architecture Lens
Classifying Questions by Architectural View
Decoding Five Voices, One Need

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