Power Platform data modeling best practices
When designing Dataverse models, several general best practices will help drive the implementation toward a successful outcome. The following list outlines the main best practices and considerations solution architects follow when creating data models:
- Reduce data duplication to a minimum:
Storing the same data in multiple locations or tables creates redundant data that can become out of sync. Duplicated data also requires additional maintenance (the data point will have to be updated in more than one location). An optimal design will have little or no data duplication.
- Identify relationship behaviors early:
An area that is often overlooked during data modeling is the definition of relationship behaviors. Working with business analysts to understand and define cascade behaviors for ownership and record deletion constraints will result in a data model that behaves as expected by the users and the business and...