Dataverse Schema & Data Management

You can create and modify Dataverse tables by sending POST and PATCH requests to the EntityDefinitions and AttributeMetadata endpoints via the Web API v9.2. This approach allows you to programmatically design schema artifacts and manage their lifecycle across environments.

The MSCRM.SolutionUniqueName header is used during Dataverse schema provisioning to associate new metadata artifacts with a specific solution. Following this convention ensures your tables, attributes, and relationships are packaged and versioned correctly for transport across environments.

Yes, you can manage Dataverse option sets and relationships by interacting with the OptionSetMetadata and RelationshipDefinitions endpoints via the Web API v9.2. This enables full programmatic control over schema design, including defining entity relationships and option set values.

The best way to seed data and query Dataverse after schema creation is by using FetchXML and OData queries. These query languages allow you to perform metadata-driven operations and populate newly provisioned tables with baseline data efficiently.

You package Dataverse schema artifacts by utilizing solution lifecycle operations through the Web API, ensuring all EntityDefinitions and metadata are linked via the MSCRM.SolutionUniqueName header. This results in a versionable solution ready for deployment across environments.

Yes, you need to follow MSCRM.SolutionUniqueName header conventions when creating schema artifacts via the Web API. This ensures your Dataverse schema components are properly associated with a solution, making them resilient and versionable across different deployment environments.