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  • DMBoK Figure 88 Example Metadata Repository Metamodel


DMBoK Figure 88 Example Metadata Repository Metamodel

12/11/2024 7:00 AM | Anonymous member (Administrator)


A Metadata Management system must be capable of extracting Metadata from many sources. Design the architecture to be capable of scanning the various Metadata sources and periodically updating the repository. The system must support the manual updates of Metadata, requests, searches, and lookups of Metadata by various user groups.

A managed Metadata environment should isolate the end user from the various and disparate Metadata sources. The architecture should provide a single access point for the Metadata repository. The access point must supply all related Metadata resources transparently to the user. Users should be able to access Metadata without being aware of the differing environments of the data sources. In analytics and Big Data solutions, the interface may have largely user-defined functions (UDF) to draw on various data sets, and the Metadata exposure to the end user is inherent to those customizations. With less reliance on UDF in solutions, end users will be gathering, inspecting, and using data sets more directly and various supporting Metadata is usually more exposed.

Design of the architecture depends on the specific requirements of the organization. Three technical architectural approaches to building a common Metadata repository mimic the approaches to designing data warehouses: centralized, distributed, and hybrid (see Section 1.3.6). These approaches all take into account implementation of the repository, and how the update mechanisms operate.

Create a data model for the Metadata repository, or metamodel, as one of the first design steps after the Metadata strategy is complete and the business requirements are understood. Different levels of metamodel may be developed as needed; a high-level conceptual model, that explains the relationships between systems, and a lower level metamodel that details the attributions, to describe the elements and processes of a model. In addition to being a planning tool and a means of articulating requirements, the metamodel is in itself a valuable source of Metadata. this figure depicts a sample Metadata repository metamodel. The boxes represent the high-level major entities, which contain the data.


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