Registry style MDM involves maintaining a central registry that stores references to master data while allowing the actual data to remain in the source systems. This approach requires technologies that support data integration and real-time access without physically moving the data.
JSON Mapping:
JSON mapping is useful for data exchange but does not specifically support the registry style MDM approach.
ETL Toolset:
ETL (Extract, Transform, Load) tools are typically used for batch data processing and integration, which may not align with the real-time data access requirements of a registry style MDM.
Columnar Database:
Columnar databases are optimized for analytical queries but are not specifically designed for supporting registry style MDM.
Complex Queries:
While complex queries can be part of the data access strategy, they are not a comprehensive solution for registry style MDM.
Data Virtualization:
Data virtualization provides a unified view of data from multiple sources without physically moving the data. It supports real-time data access and integration, making it well-suited for registry style MDM.
It enables organizations to access and manage master data across different systems while maintaining a central registry for reference.
[Reference:, DAMA-DMBOK (Data Management Body of Knowledge) Framework, CDMP (Certified Data Management Professional) Exam Study Materials, , ]
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