Microsoft Dataverse articles and architecture tutorials

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 hub

Use 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.

What this archive covers

Practical references on the concepts, setup steps, design choices, and common implementation patterns behind Dataverse — for planning, building, testing, and improving Microsoft 365 solutions.

In Dataverse:

42 articles in “Dataverse”

Latest articles

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30 DAYS OF MICROSOFT DATAVERSEDay 5
Dataverse Columns, Rows, and Data Types Explained
Column data types mapped to business fields such as status, owner, due date, amount, and document.
TablesColumnsKeys
Data modelbusiness-first tablesEntitiesRelationshipsRules
DataverseSep 11, 2026

Dataverse Columns, Rows, and Data Types Explained | Day 5

Choose Dataverse column data types that keep Power Apps data accurate, searchable, secure, and easier to automate across business processes.

By Suresh Girinathuni3 min →

Frequently asked questions

What content is included in the Dataverse category?

It includes practical Dataverse tutorials for tables, relationships, environments, security, apps, flows, APIs, ALM, governance, migration, and architecture.

Is the 30 Days of Microsoft Dataverse series under this category?

Yes. The series is now organized under the Dataverse category instead of Power Platform.