This category covers Dataverse fundamentals and architecture: data modeling, environments, security roles, Power Apps and Power Automate integration, APIs, ALM, governance, and production readiness.
Open the Dataverse hubUse it as the Dataverse home for nxtM365 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.
Practical references on the concepts, setup steps, design choices, and common implementation patterns behind Dataverse — for planning, building, testing, and improving Microsoft 365 solutions.
42 articles in “Dataverse”
Design a production-ready Dataverse architecture where data modeling, security, automation, integrations, ALM, and operations work together.
Apply Dataverse governance so makers and admins can manage environments, security, solutions, auditing, licensing, ownership and support in production.
Plan Dataverse data migration with clean mapping, alternate keys, lookup resolution, ownership validation, reconciliation, and rollback checks.
Improve Dataverse performance by shaping queries, selecting fewer columns, tuning views, reducing noisy flows, and measuring real app behavior.
Use environment variables and connection references to move Dataverse apps and flows across environments without hard-coded values.
Use Dataverse solutions, publishers, managed layers, source control, pipelines, and environment strategy for healthy ALM.
Use Dataverse Custom APIs to expose controlled business operations for Power Apps, Power Automate, plug-ins, and integrations.
Learn where Dataverse plugins fit, how the event pipeline works, and when server-side code is better than low-code business logic.
Plan Dataverse integrations with Microsoft Graph, Microsoft 365 data, external systems, custom connectors, APIs, and automation.
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.