Data Design
Reduce Complexity. Gain Business Value.
The importance of Data Design
A design context is a subset of a schema or data model. It is especially valuable when dealing with large models, when views need to be created for a specific context.
Similarly, it can be used to define the context of individual interfaces to a model. An interface does not necessarily expose all the classes of a data model, or even all the properties or associations of the classes that it does expose. Design profiles are used to define the relevant constraints for such an interface or view.
Ask yourself if you have an intuitive modeling environment to manage and curate subsets of models and schemas?
"How do we ensure consistency across our data designs including our schemas?"
Information Technology Group
SOMETHING TO CONSIDER
3 steps to using Data Design
You might ask yourself how do I start using Affirma to create a Data Design? Consider using a consistent naming convention and remember to make use of available meta-data fields to help create context and an understanding of purpose for yourself and future users.
Define how to organize your Data Designs
Determine how you are going to organize the designs. You may elect to group by business system, business capabilities, business area, business domain or data object domains. Affirma gives you the flexibility to adapt to what best suits your organization.
Define your context
Create a new design context or edit an existing one. Add entities from the data model to your context and curate the available properties and associations by removing, or adding back in, properties and associations relevant to the context.
Use your Data Designs
Import your design contexts into your enterprise semantic model or associate the design contexts with integration designs. You can also physicalize the design contexts by exporting to various DDL script formats, XSD schema’s, and a growing list of other formats.
