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Integrating with Microsoft Dataverse

Integration of Business Central with Microsoft Dataverse, covering data synchronization and data virtualization with virtual tables. It answers questions about setting up and customizing sync, coupling records, mapping fields, and exposing Business Central data to Power Platform.

Path: Integration > Integrating with Microsoft Dataverse · tier official · system integration · narrative reviewed (checked by Opus)

Overview

Integrating Business Central with Microsoft Dataverse connects Business Central to Dynamics 365 applications and custom apps built on Dataverse. The landing page lists the main mechanisms: data synchronization, virtual tables, data change events, webhooks, and business events.

The section has two subtopics. Data synchronization (15 pages) covers bidirectional sync setup, customizing integration tables, field and option mappings, coupling records, and generating AL proxy tables. It also includes a Dataverse API subtopic. Data virtualization (6 pages) covers Business Central virtual tables in Dataverse: how they expose data to Power Platform, how to model and relate them, how to manage them as solutions (ALM), and common FAQs.

Start with the landing page to pick the approach. Then go to data synchronization if you need to copy and keep data in step, or to data virtualization if you want Dataverse and Power Platform to read Business Central data through virtual tables.

Key points

  • Integration options named on the landing page: data synchronization, virtual tables, data change events, webhooks, and business events.
  • Data synchronization supports setting up bidirectional sync between Business Central and Dataverse.
  • Sync can be customized through integration tables, field mappings, and option mappings.
  • Records can be coupled between the two systems, and AL proxy tables can be generated.
  • The data synchronization subtopic also includes a Dataverse API subtopic.
  • Data virtualization uses Business Central virtual tables in Dataverse to expose data to Power Platform.
  • Virtual tables can be modeled, related to other tables, and managed as solutions (ALM).
  • The data virtualization pages include FAQs.

Subtopics

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