Data Domain
A data domain groups related data subjects under common governance, ownership, and quality standards.
A data domain groups related data subjects under common governance, ownership, and quality standards.
Data governance defines policies, roles, and processes that ensure data quality, security, and lawful use.
Data lineage documents origins, transformations, and destinations of data across systems and pipelines.
Data mesh decentralizes data ownership to domains while enforcing federated governance and platform standards.
Master data management ensures authoritative, consistent core entity data across systems and processes.
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Data architecture defines how information is structured, governed, integrated, and consumed across the enterprise.
Information architecture organizes content, metadata, and user-facing information structures for clarity and findability.
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A canonical model defines enterprise-standard representations of key business entities and messages.
A data model describes entities, attributes, relationships, and constraints for structured information.
Data architecture defines how information flows, resolves, and governs across the enterprise. Build strategy for MDM, analytics, AI readiness, and regulatory compliance.
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