1. What Is Dataverse?
Microsoft Dataverse (formerly Common Data Service) is Microsoft’s cloud-based, secure, scalable data platform that underpins the Power Platform (Power Apps, Power Automate, Power Pages, Power BI) and Dynamics 365.
It provides:
- A relational database built on Azure SQL.
- Standardized schema (Common Data Model) for business data.
- Security, governance, and compliance built-in.
- Seamless integration across the Microsoft ecosystem.
Think of Dataverse as the “database + business logic layer” for all Power Platform solutions.
2. Dataverse Architecture Overview
🔹 Core Components
| Layer | Description |
| Data Storage | Built on Azure SQL and Azure Blob for file data. |
| Business Logic Layer | Business rules, workflows, plugins, and custom logic. |
| API Layer | REST, OData, and SDK APIs for developers. |
| Security Layer | Role-based and record-based access control. |
| Integration Layer | Connectors for Power Platform, Dynamics, Azure, and external apps. |
🔹 Types of Data Storage
- Tables (Entities) – structured data (rows/columns)
- Files and Images – stored in Azure Blob via File/Image columns
- Logs and Telemetry – stored separately for auditing and analytics
3. Tables (Entities) in Dataverse
Dataverse stores data in tables. Each table has columns (fields) and rows (records).
Types of Tables
- Standard Tables – e.g., Account, Contact, Opportunity.
- Activity Tables – e.g., Email, Task, Appointment.
- Virtual Tables – connect to external data (SQL, SharePoint, API).
- Custom Tables – created by users for specific business needs.
Table Relationships
- 1:N (One-to-Many)
Example: One Account → Many Contacts. - N:1 (Many-to-One)
Example: Many Contacts → One Account. - N:N (Many-to-Many)
Example: Many Contacts ↔ Many Marketing Lists.
4. Data Types in Dataverse
| Category | Data Type | Description |
| Text | Single Line, Multiple Lines | Textual data |
| Number | Whole, Decimal, Floating | Numeric data |
| Date/Time | Date Only, Date and Time | Temporal values |
| Lookup | Lookup | Relationship reference |
| Choice | Option Set | Predefined dropdown |
| Boolean | Two options | Yes/No |
| File/Image | File, Image | Binary data |
| Calculated & Rollup | Derived values | Auto-calculated fields |
5. Security Model in Dataverse
Security Layers:
- Role-Based Security
- Access based on roles (System Admin, Salesperson, etc.)
- Record-Based Security
- Ownership model: User, Team, or Organization.
- Field-Level Security
- Control visibility/editing at the field level.
- Business Units
- Define hierarchical data boundaries.
Sharing
- Share individual records with specific users/teams.
️ 6. Business Logic Capabilities
Dataverse includes powerful no-code and pro-code logic features:
| Logic Type | Tool | Description |
| Business Rules | Power Apps Designer | Enforce validation or set field values dynamically |
| Workflows (Classic) | Dynamics 365 | Legacy automation |
| Power Automate | Cloud Flows | Event-driven automation |
| Plugins (C#) | SDK/Visual Studio | Advanced custom logic |
| Real-Time Workflows | Server-side sync | Immediate processing |
| Business Process Flows | Power Apps | Step-based user guidance |
7. Integration Options
Dataverse is designed for interoperability.
Out-of-the-box Connectors:
- Power Automate / Power Apps Connectors
- Azure Logic Apps
- Power BI
- Dynamics 365 Applications
API Integration:
- Web API (OData v4)
CRUD operations using REST. - Organization Service (C# SDK)
Strongly-typed operations. - Dataverse Connector for Azure Functions / Synapse Link
Virtual Tables:
- Surface data from SQL, SharePoint, or Custom APIs in real-time.
8. Developer Features
| Tool/Feature | Description |
| Plugins | C# classes for event-based logic |
| Custom Actions | Define custom messages callable via API |
| JavaScript Web Resources | Client-side form logic |
| PCF Controls | Custom UI components for forms/grids |
| Azure Functions/Webhooks | Extend with external serverless logic |
| Solution Management | Package and deploy apps, flows, and tables |
9. Data Access and APIs
Web API (REST)
- URL:
- https://<org>.crm.dynamics.com/api/data/v9.2/
- Example:
- GET accounts?$select=name,revenue
- POST contacts
SDK (C#)
var account = new Entity(“account”);
account[“name”] = “Contoso Ltd.”;
service.Create(account);
10. Administration and Governance
| Area | Tool | Description |
| Environment Management | Power Platform Admin Center | Create, backup, restore environments |
| Data Policies | DLP | Control connector usage |
| Auditing | Dataverse Auditing | Track record changes |
| Compliance | Microsoft Trust Center | GDPR, ISO, HIPAA |
| Backup & Restore | Environment Backups | Automated and manual options |
11. Analytics and Reporting
- Power BI Dataverse Connector
- Real-time analytics on Dataverse tables.
- Dataverse Search
- Full-text search across records.
- Advanced Find / Modern Views
- Query and export data.
- Azure Synapse Link
- Export data to Azure Data Lake for big data analytics.
12. Solutions and ALM (Application Lifecycle Management)
Types of Solutions
- Unmanaged: Editable; used during development.
- Managed: Locked; used for deployment to production.
ALM Tools
- Power Platform CLI (pac)
- GitHub Actions / Azure DevOps Pipelines
- Environment Variables and Connection References
13. Licensing Overview (2025)
| License | Includes Dataverse? | Notes |
| Power Apps per app/user plan | ✅ | Full Dataverse access |
| Microsoft 365 | ⚠️ | Limited Dataverse for Teams |
| Dynamics 365 | ✅ | Full access via assigned app |
| Dataverse for Teams | ✅ | Lightweight, limited features |
14. Best Practices
✅ Use standard tables where possible.
✅ Keep plugins lightweight and offload heavy logic to Power Automate or Azure Functions.
✅ Use Solutions for deployment.
✅ Apply naming conventions and documentation.
✅ Regularly review audit logs and storage usage.
✅ Use column-level security for sensitive data.
15. Common Real-World Use Cases
| Industry | Example Application |
| Healthcare | Patient record management |
| Education | Student and course tracking |
| Construction | Project, bid, and contract management |
| Banking | Loan and customer relationship tracking |
| Public Sector | Citizen service portals |
16. Learning and Certification Path
| Level | Certification | Code |
| Beginner | Microsoft Power Platform Fundamentals | PL-900 |
| Intermediate | Power Platform Functional Consultant | PL-200 |
| Advanced | Power Platform Developer | PL-400 |
| Architect | Solution Architect Expert | PL-600 |

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