Registry style MDM involves maintaining a central registry that stores

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