Entity resolution is a critical step in the MDM process that identifies whether different data records refer to the same real-world entity. This ensures that each entity is uniquely represented within the master data repository.
Data Model Management:
Focuses on defining and maintaining data models that describe the structure, relationships, and constraints of the data.
Data Acquisition:
Entity Resolution:
This process involves matching and linking records from different sources that refer to the same entity. Techniques such as deterministic matching (based on exact matches) and probabilistic matching (based on similarity scores) are used.
Entity resolution helps in deduplication and ensuring a single, unified view of each entity within the MDM system.
Data Sharing & Stewardship:
Data Validation, Standardization, and Enrichment:
Ensures data quality by validating, standardizing, and enriching data but does not directly address entity resolution.
[Reference:, DAMA-DMBOK (Data Management Body of Knowledge) Framework, CDMP (Certified Data Management Professional) Exam Study Materials, , ]
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