Summary

Completed

You're now able to look at a Dataverse integration scenario, like Contoso's equipment-provisioning solution, and choose the API surface that fits the job in front of you. You also design every call to stay resilient under the platform's service protection limits.

What you learned

• The Web API gives any HTTP-capable client, such as Contoso's employee portal and external inventory service, a lightweight, language-agnostic way to create, update, query, and batch rows. It does this using standard REST verbs and OData query options.
• The Organization service, accessed through the Dataverse SDK for .NET, gives a compiled application like the coordinator's approval service a strongly typed, message-based request/response model with compile-time checking instead of hand-composed HTTP calls.
• Dataverse enforces service protection limits on request count, execution time, and concurrent requests. It signals which limit you hit through a 429 response or an OrganizationServiceFault, so a correct retry policy waits the full Retry-After duration instead of guessing.
• The Dataverse SDKs for .NET and Python each simplify common operations for a different kind of consumer. The Python-based analyst, for example, pulls data straight into a pandas DataFrame, while still relying on the same underlying platform behavior and the same throttling rules.

Learn more

• Use the Microsoft Dataverse Web API
• Create a table row using the Web API
• Use the SDK for .NET
• Service protection API limits
• Dataverse SDK for Python overview
• Transition apps to Dataverse ServiceClient