canonical-data-model

A canonical data model acts as an anti-corruption layer across bounded contexts. It establishes an integration contract that reconciles differing source representations of real-world entities, preventing semantic chaos and protecting internal domain models from external schema changes.

The best way to define golden record survivorship rules is to establish authoritative logic that assembles a single, trusted record from conflicting source data, resolving semantic differences across multiple systems describing the same real-world entity.

Identity resolution for master data management works by applying deterministic and probabilistic matching techniques to identify when disparate records from multiple systems refer to the same real-world entity, enabling the creation of unified golden records.

You need an anti-corruption layer across bounded contexts when multiple systems describe the same real-world entities differently, causing semantic chaos. The canonical data model resolves this by acting as a stable integration contract between domains.

To handle multi-domain governance in master data architecture, you design a canonical data model that enforces deterministic identity resolution and survivorship rules, ensuring trusted golden records across diverse system integrations.