Model Online / On-Site
Duration
Modules 4 modules

Course Objective

To equip architects and developers with the skills to design scalable data models, server-side business logic, and granular security architectures on Microsoft Dataverse—the enterprise data backbone of Power Platform, Dynamics 365, and Copilot Studio.

Participants move beyond basic table storage to master relational integrity, Security Roles, Business Rules, Low-Code Plug-ins, and Virtual Tables in hands-on scenarios.

Target Audience and Prerequisites

  • Target Audience: Data architects, Power Platform and Dynamics 365 developers, system administrators, and enterprise solution architects.
  • Prerequisites: Foundational understanding of relational database design (tables, primary/foreign keys, and normalization).

Key Takeaways and Focus Areas

  • Modeling standard, custom, elastic, and virtual tables along with 1:N, N:N relationships and Rollup/Formula columns.
  • Enforcing enterprise data isolation using Business Units, Security Roles, Column-Level Security, and hierarchy security.
  • Implementing server-side Business Rules, Power Fx Plug-ins, compliance Auditing, and external data synchronization.

Curriculum

Dataverse Architecture and Advanced Data Modeling
  • Common Data Model (CDM), standard/custom tables, Alternate Keys, and relationship cascade behaviors
  • Power Fx Formula columns, Rollup fields, global Choices, and high-throughput Elastic tables
Server-Side Business Logic and Automation
  • Application-agnostic Business Rules, validation logic, and server-enforced default values
  • Dataverse Low-Code Plug-ins (instant and automated), classic workflows, and event-driven triggers
Enterprise Security Model and Compliance Auditing
  • Business Units, Entra ID group teams, record ownership, and matrix-based Security Roles design
  • Column-Level Security profiles, hierarchical access models, and record-level Auditing configuration
Virtual Tables, Data Migration, and Integration
  • Connecting SQL Server, SharePoint, and OData sources without data duplication via Virtual Tables
  • Data integration using Dataflows (Power Query), Azure Synapse Link / Fabric Link, and the Dataverse Web API

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