Dataverse Architecture Explained for Power Platform Teams | Day 2
See how Dataverse architecture connects environments, metadata, security, business logic, APIs, and ALM so Power Platform solutions stay maintainable.
This category covers Microsoft Dataverse fundamentals, architecture, data modeling, environments, security roles, Power Apps integration, Power Automate integration, APIs, ALM, migration, governance, performance, and production readiness.
Open the Dataverse learning hubUse it as the Dataverse home for nextM365 content, including the 30 Days of Microsoft Dataverse learning series. The guidance is written for makers, developers, admins, consultants, and architects who need Dataverse solutions that are secure, maintainable, and ready for business use.
This article archive collects the concepts, setup steps, design choices, and common implementation patterns behind Dataverse. Use them as practical references while planning, building, testing, and improving Microsoft 365 solutions.
10 articles in “Dataverse”
See how Dataverse architecture connects environments, metadata, security, business logic, APIs, and ALM so Power Platform solutions stay maintainable.
It includes practical Dataverse tutorials for tables, relationships, environments, security, apps, flows, APIs, ALM, governance, migration, and architecture.
Yes. The series is now organized under the Dataverse category instead of Power Platform.