Data architecture of an architecture repository. This is relatively simple in design in this document and only involves a conceptual data model. However, the conceptual data model does provide an overview of relevant concepts within an architecture repository.

Overview or basic map of the existing or future data objects, datasets and databases within the domain of architecture.

A description of the structure and interaction of the enterprise’s major types and sources of data, logical data assets, physical data assets, and data management resources.

This is an example of modeling and naming conventions that can be used within an architecture repository. This elaboration is an example of how to develop a metamodel and its conventions. In this case for a data architecture development. The metamodel has been developed based on the DMBoK framework. This means that part of the framework has been developed and the others have not yet. Here, particularly from the point of view of the data architect, is an elaboration of modeling conventions and architectural models. Working with meta data requires a white paper on metadata modeling methods.

Data architecture of an architecture repository. This is relatively simple in design in this document and only involves a conceptual data model. However, the conceptual data model does provide an overview of relevant concepts within an architecture repository.

This is an example of modeling and naming conventions that can be used within an architecture repository. This elaboration is an example of how to develop a metamodel and its conventions. In this case for a data architecture development. The metamodel has been developed based on the DMBoK framework. This means that part of the framework has been developed and the others have not yet. Here, particularly from the point of view of the data architect, is an elaboration of modeling conventions and architectural models. Working with meta data requires a white paper on metadata modeling methods.