Dynamics 365 CE (Direct)
Connector Details
| Connector Attributes | Details |
|---|---|
| Name | Dynamics 365 CE (Direct) |
| Description | Dynamics 365 Customer Engagement (CE), formerly known as Dynamics CRM, is a comprehensive customer relationship management (CRM) platform developed by Microsoft. It offers a suite of integrated applications and services designed to help businesses manage customer interactions, streamline sales, automate marketing processes, and deliver exceptional customer service. Dynamics CE enables organizations to centralize customer data, track interactions across multiple channels, and gain insights to drive informed decision-making and personalized engagement strategies. With features such as sales automation, marketing automation, customer service management, and customizable dashboards and reports, Dynamics CE empowers businesses to build strong customer relationships, increase sales productivity, and drive business growth. |
| Connector Type | Class D |
Features
| Feature Name | Feature Details |
|---|---|
| Load Strategies | Full Load, Incremental Load |
| Metadata Extraction | Supported |
| Data Acquisition | Supported |
| Data Publishing | Supported |
| Automated Schema Drift Handling | Not Supported |
Source Connection Attributes
| Connection Parameters | Data Type | Example |
|---|---|---|
| Connection Name | String | Dynamics365CEConnector |
| Dynamics URL | String | https://your-dynamics-instance.crm.dynamics.com |
| Azure Tenant ID | String | your-azure-tenant-id |
| OAuth Client ID | String | your-oauth-client-id |
| OAuth Client Secret | String | your-oauth-client-secret |
| Client Details Secret Name (Optional) | String | your-secret-name |
| Bronze Schema (Optional) | String | |
| Silver Schema (Optional) | String |
Connector Specific Configuration Details
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Dynamics 365 FO (Dataverse via Synapse Link) connector has optional values such as Bronze Schema and Silver Schema
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These connectors service both the CRM and FnO ERPs of Dynamics 365. The only difference in implementation is in the dynamics_erp portion of the connection string.
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The extraction piece inherits the CData JDBC base class. Just overloading the configure secrets method to build the connection string from the JSON object.
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The publishing side implements it's own class. The class features are largely borrowed from the DDU workflow.
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The Log Table gives more fine-grained information about failures that can be achieved in the standard publish metrics.
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Each record is pushed independently to the target in parallel using multi-threading. Failed records are moved to the quarantine database along with metadata about the operation and the failure.
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Example for Dynamics - CE connection string:
{"dynamics_erp": "dynamicscrm", "dynamics_url": "my.crm.dynamics.com", "azure_tenant": "abc-123", "client_id": "my_client_id", "client_secret": "my_client_secret", "extra_clients_secret_name": "ddu-publishing-secrets"} -
batch_daysoption (trickle feed mode): When using incremental load withtrickle_feedmode, the extraction window per run is controlled by thebatch_daysoption (default:7). This limits how many days of data are read in a single run. If the range betweenstart_dateandend_dateexceedsbatch_days, onlystart_date + batch_daysof data is processed per run. To extract a wider date range in one run, explicitly passbatch_days=Nin options:{ "batch_days": 14, "start_date": "2026-05-01T00:00:00", "end_date": "2026-05-15T00:00:00" } -
Watermark diagnostic logging: During incremental extractions, the connector now logs the actual
minandmaxvalues of the watermark column found in the extracted data, alongside the expectedstart_date→end_datewindow and the total row count. This helps diagnose silent data gaps where the data range does not align with the requested window. -
Trickle feed windowing behaviour: In
trickle_feedmode the effectiveend_dateper run is alwaysmin(start_date + batch_days, runtime_datetime). If the explicitly providedend_dateis farther in the future thanstart_date + batch_days, it will be silently capped for that run. Run the extraction multiple times with the updatedstart_date(set to the previous run'snewWaterMarkDate) to cover the full range, or increasebatch_daysto match the desired window.
Screenshot To Use Connector
Updated 14 days ago
