Evolve and Govern Data Models
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 1h 25m | 186 MB
Instructor: Warner Chaves
Data models must adapt over time. This course will teach you how to evolve, document, and govern data models so they remain accurate, trusted, and aligned to business needs.
What you'll learn
Data models rarely stay static-business needs, systems, and requirements change constantly. Without a clear approach to managing this evolution, organizations quickly lose trust in their data.
In this course, Evolve and Govern Data Models, you'll gain the ability to manage the lifecycle, documentation, and governance practices required to keep data models healthy and trustworthy.
First, you'll explore why and how data models evolve, learning common triggers, versioning strategies, and communication practices.
Next, you'll discover how to document and communicate data models using clear visuals, metadata, and semantic layers that help downstream users interpret data correctly.
Finally, you'll learn how to apply governance and quality principles so your models remain consistent, compliant, and aligned with enterprise standards as they grow.
When you're finished with this course, you'll have the skills and knowledge of data model evolution and governance needed to maintain scalable, trustworthy models across your organization.
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