Microsoft Dataverse Architecture Consulting
Build secure, scalable relational data foundations for Power Apps and Dynamics 365. Design enterprise data models, business unit hierarchies, and security roles.
Core Service Capabilities
Designed and delivered by experienced Australian Microsoft solution architects.
Relational Data Modeling
Design normalized tables, alternate keys, polymorphic lookups, and calculated fields built for enterprise scale.
Data Model • SchemaGranular Security Roles
Configure complex role-based access control (RBAC), team privileges, column-level security, and record ownership hierarchy.
Security Roles • RBACElastic Tables & Virtual Tables
Integrate external SQL databases or Cosmos DB directly into Dataverse using Virtual Tables without data duplication.
Virtual Tables • APIsEnterprise Relational Modeling & Schema Optimization
Microsoft Dataverse is not a simple spreadsheet repository; it is a fully managed enterprise database engine built on Azure SQL and Azure Cosmos DB. Designing data models without rigid normalization leads to delegated query bottlenecks, storage cost overruns, and reporting failures.
Relational Normalization & Keys
We structure complex entity relationships (1:N, N:1, N:N) to eliminate redundant data storage. Alternate keys are defined across transactional entities to ensure idempotent upsert operations from ERPs and external line-of-business platforms without record duplication.
- Alternate Keys: Native constraint enforcement preventing duplicate records during ETL.
- Polymorphic Lookups: Custom lookups targeting multiple parent entities cleanly.
- Calculated & Rollup Columns: Asynchronous server-side aggregation without flow overhead.
Three-Tier Storage Management
Dataverse separates storage into Database, File, and Log capacity. Uncontrolled document attachments and verbose plugin tracing can rapidly exhaust high-cost Database capacity. We architect automated offloading strategies to protect operational margins.
- Database Tier: Relational tables, metadata, and indexed attributes in Azure SQL.
- File Tier: PDFs, images, and attachments routed to cost-effective Azure Blob storage.
- Log Tier: Audit history and plugin trace execution logs with automated retention policies.
Multi-Tier Security & Row-Level Access Control
Protecting sensitive organizational data requires more than broad application permissions. Dataverse provides the most granular security model in low-code cloud architecture, enabling precise row, column, and hierarchy-based authorization.
Business Unit Topologies
We design root and parent-child Business Unit hierarchies matching corporate governance, divisional boundaries, and multi-state operations while preventing siloed data fragmentation.
Team Ownership & RBAC
Configure Owner Teams tied directly to Entra ID (Azure AD) security groups for automated user provisioning, paired with Access Teams for dynamic record sharing without permission sprawl.
Column-Level Security (CLS)
Restrict viewing or editing of sensitive financial figures, tax file numbers, or executive compensation attributes to authorized security profiles while leaving the parent record readable.
Virtual Tables, Elastic Scaling & API Throttling
When data estates scale into tens of millions of records or reside in external Azure SQL databases, duplicating data into Dataverse creates unnecessary synchronization overhead. We implement native integration patterns that access data where it lives.
Virtual Tables (Data Connectors)
Virtual tables surface data from Azure SQL, SharePoint, or custom REST APIs directly into model-driven apps and Power Pages as if they were native Dataverse tables. Users perform read, write, and update actions in real time without ETL lag.
Ideal for large ERP databases, product catalogs, and transactional order histories.
Elastic Tables & Service Protection
For high-throughput telemetry, audit events, or IoT log data, Elastic Tables leverage an Azure Cosmos DB backend within Dataverse to ingest millions of rows seamlessly without impacting relational query performance.
Architected with exponential backoff to respect the 6,000 requests / 5-minute Service Protection API limit.
Structured Architecture & Handover Framework
Our senior Australian architects manage your Dataverse environment through a four-stage engineering methodology designed to deliver durable foundations, complete documentation, and zero technical debt.
Schema Discovery & ERD Modeling
Audit existing legacy data sources, define normalized table relationships, primary keys, alternate keys, and data retention rules.
Security & RBAC Boundary Definition
Model Business Units, Entra ID security group sync, custom security roles, team hierarchies, and column-level encryption controls.
Virtual Table & API Integration
Implement Virtual Tables, OData connectors, Azure SQL bridges, and asynchronous batch processing respecting API limits.
Handover, Runbook & Performance Signoff
Provide full ERD blueprints, security matrix documentation, administrator runbooks, and query performance validation logs.
Technical Prerequisites & Licensing
Before initiating Dataverse schema architecture, organizations should verify licensing entitlements and environment capacity:
Acceptance Deliverables Checklist
- Entity Relationship Diagram (ERD) with attribute definitions
- Role-Based Access Control (RBAC) permission matrix
- Service Protection API limit mitigation strategy
- Capacity consumption and storage offloading runbook
Related Power Platform & Data Services
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