Copy and transform data in Dynamics 365 (Microsoft Dataverse) or Dynamics CRM using Azure Data Factory or Azure Synapse Analytics

บทความ
08/02/2024

APPLIES TO: Azure Data Factory Azure Synapse Analytics

Tip

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This article outlines how to use a copy activity in Azure Data Factory or Synapse pipelines to copy data from and to Dynamics 365 (Microsoft Dataverse) or Dynamics CRM, and use a data flow to transform data in Dynamics 365 (Microsoft Dataverse) or Dynamics CRM. To learn more, read the Azure Data Factory and the Azure Synapse Analytics introduction articles.

Supported capabilities

This connector is supported for the following activities:

Supported capabilities	IR
Copy activity (source/sink)	① ②
Mapping data flow (source/sink)	①
Lookup activity	① ②

① Azure integration runtime ② Self-hosted integration runtime

For a list of data stores that a copy activity supports as sources and sinks, see the Supported data stores table.

Note

Effective November 2020, Common Data Service has been renamed to Microsoft Dataverse. This article is updated to reflect the latest terminology.

This Dynamics connector supports Dynamics versions 7 through 9 for both online and on-premises. More specifically:

Version 7 maps to Dynamics CRM 2015.
Version 8 maps to Dynamics CRM 2016 and the early version of Dynamics 365.
Version 9 maps to the later version of Dynamics 365.

Refer to the following table of supported authentication types and configurations for Dynamics versions and products.

Dynamics versions	Authentication types	Linked service samples
Dataverse Dynamics 365 online Dynamics CRM online	Microsoft Entra service principal Office 365 User-assigned managed identity	Dynamics online and Microsoft Entra service principal or Office 365 authentication
Dynamics 365 on-premises with internet-facing deployment (IFD) Dynamics CRM 2016 on-premises with IFD Dynamics CRM 2015 on-premises with IFD	IFD	Dynamics on-premises with IFD and IFD authentication

Note

With the deprecation of regional Discovery Service, the service has upgraded to leverage global Discovery Service while using Office 365 Authentication.

Important

If your tenant and user is configured in Microsoft Entra ID for conditional access and/or Multi-Factor Authentication is required, you will not be able to use Office 365 Authentication type. For those situations, you must use a Microsoft Entra service principal authentication.

For Dynamics 365 specifically, the following application types are supported:

Dynamics 365 for Sales
Dynamics 365 for Customer Service
Dynamics 365 for Field Service
Dynamics 365 for Project Service Automation
Dynamics 365 for Marketing

This connector doesn't support other application types like Finance, Operations, and Talent.

Tip

To copy data from Dynamics 365 Finance and Operations, you can use the Dynamics AX connector.

This Dynamics connector is built on top of Dynamics XRM tooling.

Prerequisites

To use this connector with Microsoft Entra service principal authentication, you must set up server-to-server (S2S) authentication in Dataverse or Dynamics. First register the application user (Service Principal) in Microsoft Entra ID. You can find out how to do this here. During application registration you will need to create that user in Dataverse or Dynamics and grant permissions. Those permissions can either be granted directly or indirectly by adding the application user to a team which has been granted permissions in Dataverse or Dynamics. You can find more information on how to set up an application user to authenticate with Dataverse here.

Get started

To perform the Copy activity with a pipeline, you can use one of the following tools or SDKs:

Create a linked service to Dynamics 365 (Microsoft Dataverse) or Dynamics CRM using UI

Use the following steps to create a linked service to Dynamics 365 in the Azure portal UI.

Browse to the Manage tab in your Azure Data Factory or Synapse workspace and select Linked Services, then click New:
- Azure Data Factory
- Azure Synapse
Search for Dynamics or Dataverse and select the Dynamics 365 (Microsoft Dataverse) or Dynamics CRM connector.
Configure the service details, test the connection, and create the new linked service.

Connector configuration details

The following sections provide details about properties that are used to define entities specific to Dynamics.

Linked service properties

The following properties are supported for the Dynamics linked service.

Dynamics 365 and Dynamics CRM online

Property	Description	Required
type	The type property must be set to "Dynamics", "DynamicsCrm", or "CommonDataServiceForApps".	Yes
deploymentType	The deployment type of the Dynamics instance. The value must be "Online" for Dynamics online.	Yes
serviceUri	The service URL of your Dynamics instance, the same one you access from browser. An example is "https://<organization-name>.crm[x].dynamics.com".	Yes
authenticationType	The authentication type to connect to a Dynamics server. Valid values are "AADServicePrincipal", "Office365" and "ManagedIdentity".	Yes
servicePrincipalId	The client ID of the Microsoft Entra application.	Yes when authentication is "AADServicePrincipal"
servicePrincipalCredentialType	The credential type to use for service-principal authentication. Valid values are "ServicePrincipalKey" and "ServicePrincipalCert". Note: It's recommended to use ServicePrincipalKey. There's known limitation for ServicePrincipalCert credential type where the service may encounter transient issue of failing to retrieve secret from the key vault.	Yes when authentication is "AADServicePrincipal"
servicePrincipalCredential	The service-principal credential. When you use "ServicePrincipalKey" as the credential type, `servicePrincipalCredential` can be a string that the service encrypts upon linked service deployment. Or it can be a reference to a secret in Azure Key Vault. When you use "ServicePrincipalCert" as the credential, `servicePrincipalCredential` must be a reference to a certificate in Azure Key Vault, and ensure the certificate content type is PKCS #12.	Yes when authentication is "AADServicePrincipal"
username	The username to connect to Dynamics.	Yes when authentication is "Office365"
password	The password for the user account you specified as the username. Mark this field with "SecureString" to store it securely, or reference a secret stored in Azure Key Vault.	Yes when authentication is "Office365"
credentials	Specify the user-assigned managed identity as the credential object. Create one or multiple user-assigned managed identities, assign them to your data factory and create credentials for each user-assigned managed identity.	Yes when authentication is "ManagedIdentity"
connectVia	The integration runtime to be used to connect to the data store. If no value is specified, the property uses the default Azure integration runtime.	No

Note

The Dynamics connector formerly used the optional organizationName property to identify your Dynamics CRM or Dynamics 365 online instance. While that property still works, we suggest you specify the new serviceUri property instead to gain better performance for instance discovery.

Example: Dynamics online using Microsoft Entra service principal and key authentication

{  
    "name": "DynamicsLinkedService",  
    "properties": {  
        "type": "Dynamics",  
        "typeProperties": {  
            "deploymentType": "Online",  
            "serviceUri": "https://<organization-name>.crm[x].dynamics.com",  
            "authenticationType": "AADServicePrincipal",  
            "servicePrincipalId": "<service principal id>",  
            "servicePrincipalCredentialType": "ServicePrincipalKey",  
            "servicePrincipalCredential": "<service principal key>"
        },  
        "connectVia": {  
            "referenceName": "<name of Integration Runtime>",  
            "type": "IntegrationRuntimeReference"  
        }  
    }  
}

Example: Dynamics online using Microsoft Entra service principal and certificate authentication

{ 
    "name": "DynamicsLinkedService", 
    "properties": { 
        "type": "Dynamics", 
        "typeProperties": { 
            "deploymentType": "Online", 
            "serviceUri": "https://<organization-name>.crm[x].dynamics.com", 
            "authenticationType": "AADServicePrincipal", 
            "servicePrincipalId": "<service principal id>", 
            "servicePrincipalCredentialType": "ServicePrincipalCert", 
            "servicePrincipalCredential": { 
                "type": "AzureKeyVaultSecret", 
                "store": { 
                    "referenceName": "<AKV reference>", 
                    "type": "LinkedServiceReference" 
                }, 
                "secretName": "<certificate name in AKV>" 
            } 
        }, 
        "connectVia": { 
            "referenceName": "<name of Integration Runtime>", 
            "type": "IntegrationRuntimeReference" 
        } 
    } 
}

Example: Dynamics online using Office 365 authentication

{
    "name": "DynamicsLinkedService",
    "properties": {
        "type": "Dynamics",
        "typeProperties": {
            "deploymentType": "Online",
            "serviceUri": "https://<organization-name>.crm[x].dynamics.com",
            "authenticationType": "Office365",
            "username": "test@contoso.onmicrosoft.com",
            "password": {
                "type": "SecureString",
                "value": "<password>"
            }
        },
        "connectVia": {
            "referenceName": "<name of Integration Runtime>",
            "type": "IntegrationRuntimeReference"
        }
    }
}

Example: Dynamics online using user-assigned managed identity authentication

{
    "name": "DynamicsLinkedService",
    "properties": {
        "type": "Dynamics",
        "typeProperties": {
            "deploymentType": "Online",
            "serviceUri": "https://<organization-name>.crm[x].dynamics.com",
            "authenticationType": "ManagedIdentity",
            "credential": {
                "referenceName": "credential1",
                "type": "CredentialReference"
            }
        },
        "connectVia": {
            "referenceName": "<name of Integration Runtime>",
            "type": "IntegrationRuntimeReference"
        }
    }
}

Dynamics 365 and Dynamics CRM on-premises with IFD

Additional properties that compare to Dynamics online are hostName and port.

Property	Description	Required
type	The type property must be set to "Dynamics", "DynamicsCrm", or "CommonDataServiceForApps".	Yes
deploymentType	The deployment type of the Dynamics instance. The value must be "OnPremisesWithIfd" for Dynamics on-premises with IFD.	Yes
hostName	The host name of the on-premises Dynamics server.	Yes
port	The port of the on-premises Dynamics server.	No. The default value is 443.
organizationName	The organization name of the Dynamics instance.	Yes
authenticationType	The authentication type to connect to the Dynamics server. Specify "ActiveDirectoryAuthentication" for Dynamics on-premises with IFD.	Yes
domain	The Active Directory domain that will verify user credentials.	Yes
username	The username to connect to Dynamics.	Yes
password	The password for the user account you specified for the username. You can mark this field with "SecureString" to store it securely. Or you can store a password in Key Vault and let the copy activity pull from there when it does data copy. Learn more from Store credentials in Key Vault.	Yes
connectVia	The integration runtime to be used to connect to the data store. If no value is specified, the property uses the default Azure integration runtime.	No

Note

Due to the sunset of Ifd authentication type by August 31, 2024, please upgrade to Active Directory Authentication type before the date if you are currently using it.

Example: Dynamics on-premises with IFD using Active Directory authentication

{
    "name": "DynamicsLinkedService",
    "properties": {
        "type": "Dynamics",
        "description": "Dynamics on-premises with IFD linked service using IFD authentication",
        "typeProperties": {
            "deploymentType": "OnPremisesWithIFD",
            "hostName": "contosodynamicsserver.contoso.com",
            "port": 443,
            "organizationName": "admsDynamicsTest",
            "authenticationType": "ActiveDirectoryAuthentication",
            "domain": "< Active Directory domain >", 
            "username": "test@contoso.onmicrosoft.com",
            "password": {
                "type": "SecureString",
                "value": "<password>"
            }
        },
        "connectVia": {
            "referenceName": "<name of Integration Runtime>",
            "type": "IntegrationRuntimeReference"
        }
    }
}

Dataset properties

For a full list of sections and properties available for defining datasets, see the Datasets article. This section provides a list of properties supported by Dynamics dataset.

To copy data from and to Dynamics, the following properties are supported:

Property	Description	Required
type	The type property of the dataset must be set to "DynamicsEntity", "DynamicsCrmEntity", or "CommonDataServiceForAppsEntity".	Yes
entityName	The logical name of the entity to retrieve.	No for source if the activity source is specified as "query" and yes for sink

Example

{
    "name": "DynamicsDataset",
    "properties": {
        "type": "DynamicsEntity",
        "schema": [],
        "typeProperties": {
            "entityName": "account"
        },
        "linkedServiceName": {
            "referenceName": "<Dynamics linked service name>",
            "type": "linkedservicereference"
        }
    }
}

Copy activity properties

For a full list of sections and properties available for defining activities, see the Pipelines article. This section provides a list of properties supported by Dynamics source and sink types.

Dynamics as a source type

To copy data from Dynamics, the copy activity source section supports the following properties:

Property	Description	Required
type	The type property of the copy activity source must be set to "DynamicsSource", "DynamicsCrmSource", or "CommonDataServiceForAppsSource".	Yes
query	FetchXML is a proprietary query language that is used in Dynamics online and on-premises. See the following example. To learn more, see Build queries with FetchXML.	No if `entityName` in the dataset is specified

Note

The PK column will always be copied out even if the column projection you configure in the FetchXML query doesn't contain it.

Important

When you copy data from Dynamics, explicit column mapping from Dynamics to sink is optional. But we highly recommend the mapping to ensure a deterministic copy result.
When the service imports a schema in the authoring UI, it infers the schema. It does so by sampling the top rows from the Dynamics query result to initialize the source column list. In that case, columns with no values in the top rows are omitted. The same behavior also applies to data preview and copy executions if there is no explicit mapping. You can review and add more columns into the mapping, which are honored during copy runtime.

Example

"activities":[
    {
        "name": "CopyFromDynamics",
        "type": "Copy",
        "inputs": [
            {
                "referenceName": "<Dynamics input dataset>",
                "type": "DatasetReference"
            }
        ],
        "outputs": [
            {
                "referenceName": "<output dataset>",
                "type": "DatasetReference"
            }
        ],
        "typeProperties": {
            "source": {
                "type": "DynamicsSource",
                "query": "<FetchXML Query>"
            },
            "sink": {
                "type": "<sink type>"
            }
        }
    }
]

Sample FetchXML query

<fetch>
  <entity name="account">
    <attribute name="accountid" />
    <attribute name="name" />
    <attribute name="marketingonly" />
    <attribute name="modifiedon" />
    <order attribute="modifiedon" descending="false" />
    <filter type="and">
      <condition attribute ="modifiedon" operator="between">
        <value>2017-03-10 18:40:00z</value>
        <value>2017-03-12 20:40:00z</value>
      </condition>
    </filter>
  </entity>
</fetch>

Dynamics as a sink type

To copy data to Dynamics, the copy activity sink section supports the following properties:

Property	Description	Required
type	The type property of the copy activity sink must be set to "DynamicsSink", "DynamicsCrmSink", or "CommonDataServiceForAppsSink".	Yes.
writeBehavior	The write behavior of the operation. The value must be "Upsert".	Yes
alternateKeyName	The alternate key name defined on your entity to do an upsert.	No.
writeBatchSize	The row count of data written to Dynamics in each batch.	No. The default value is 10.
ignoreNullValues	Whether to ignore null values from input data other than key fields during a write operation. Valid values are TRUE and FALSE: TRUE: Leave the data in the destination object unchanged when you do an upsert or update operation. Insert a defined default value when you do an insert operation. FALSE: Update the data in the destination object to a null value when you do an upsert or update operation. Insert a null value when you do an insert operation.	No. The default value is FALSE.
maxConcurrentConnections	The upper limit of concurrent connections established to the data store during the activity run. Specify a value only when you want to limit concurrent connections.	No

Note

The default value for both the sink writeBatchSize and the copy activity parallelCopies for the Dynamics sink is 10. Therefore, 100 records are concurrently submitted by default to Dynamics.

For Dynamics 365 online, there's a limit of 52 concurrent batch calls per organization. If that limit is exceeded, a "Server Busy" exception is thrown before the first request is ever run. Keep writeBatchSize at 10 or less to avoid such throttling of concurrent calls.

The optimal combination of writeBatchSize and parallelCopies depends on the schema of your entity. Schema elements include the number of columns, row size, and number of plug-ins, workflows, or workflow activities hooked up to those calls. The default setting of writeBatchSize (10) × parallelCopies (10) is the recommendation according to the Dynamics service. This value works for most Dynamics entities, although it might not give the best performance. You can tune the performance by adjusting the combination in your copy activity settings.

Example

"activities":[
    {
        "name": "CopyToDynamics",
        "type": "Copy",
        "inputs": [
            {
                "referenceName": "<input dataset>",
                "type": "DatasetReference"
            }
        ],
        "outputs": [
            {
                "referenceName": "<Dynamics output dataset>",
                "type": "DatasetReference"
            }
        ],
        "typeProperties": {
            "source": {
                "type": "<source type>"
            },
            "sink": {
                "type": "DynamicsSink",
                "writeBehavior": "Upsert",
                "writeBatchSize": 10,
                "ignoreNullValues": true
            }
        }
    }
]

Retrieving data from views

To retrieve data from Dynamics views, you need to get the saved query of the view, and use the query to get the data.

There are two entities which store different types of view: "saved query" stores system view and "user query" stores user view. To get the information of the views, refer to the following FetchXML query and replace the "TARGETENTITY" with savedquery or userquery. Each entity type has more available attributes that you can add to the query based on your need. Learn more about savedquery entity and userquery entity.

<fetch top="5000" >
  <entity name="<TARGETENTITY>">
    <attribute name="name" />
    <attribute name="fetchxml" />
    <attribute name="returnedtypecode" />
    <attribute name="querytype" />
  </entity>
</fetch>

You can also add filters to filter the views. For example, add the following filter to get a view named "My Active Accounts" in account entity.

<filter type="and" >
    <condition attribute="returnedtypecode" operator="eq" value="1" />
    <condition attribute="name" operator="eq" value="My Active Accounts" />
</filter>

Data type mapping for Dynamics

When you copy data from Dynamics, the following table shows mappings from Dynamics data types to interim data types within the service. To learn how a copy activity maps to a source schema and a data type maps to a sink, see Schema and data type mappings.

Configure the corresponding interim data type in a dataset structure that is based on your source Dynamics data type by using the following mapping table:

Dynamics data type	Service interim data type	Supported as source	Supported as sink
AttributeTypeCode.BigInt	Long	✓	✓
AttributeTypeCode.Boolean	Boolean	✓	✓
AttributeType.Customer	GUID	✓	✓ (See guidance)
AttributeType.DateTime	Datetime	✓	✓
AttributeType.Decimal	Decimal	✓	✓
AttributeType.Double	Double	✓	✓
AttributeType.EntityName	String	✓	✓
AttributeType.Integer	Int32	✓	✓
AttributeType.Lookup	GUID	✓	✓ (See guidance)
AttributeType.ManagedProperty	Boolean	✓
AttributeType.Memo	String	✓	✓
AttributeType.Money	Decimal	✓	✓
AttributeType.Owner	GUID	✓	✓ (See guidance)
AttributeType.Picklist	Int32	✓	✓
AttributeType.Uniqueidentifier	GUID	✓	✓
AttributeType.String	String	✓	✓
AttributeType.State	Int32	✓	✓
AttributeType.Status	Int32	✓	✓

Note

The Dynamics data types AttributeType.CalendarRules, AttributeType.MultiSelectPicklist, and AttributeType.PartyList aren't supported.

Writing data to a lookup field

To write data into a lookup field with multiple targets like Customer and Owner, follow this guidance and example:

Make your source contains both the field value and the corresponding target entity name.
- If all records map to the same target entity, ensure one of the following conditions:
  - Your source data has a column that stores the target entity name.
  - You've added an additional column in the copy activity source to define the target entity.
- If different records map to different target entities, make sure your source data has a column that stores the corresponding target entity name.
Map both the value and entity-reference columns from source to sink. The entity-reference column must be mapped to a virtual column with the special naming pattern {lookup_field_name}@EntityReference. The column doesn't actually exist in Dynamics. It's used to indicate this column is the metadata column of the given multitarget lookup field.

For example, assume the source has these two columns:

CustomerField column of type GUID, which is the primary key value of the target entity in Dynamics.
Target column of type String, which is the logical name of the target entity.

Also assume you want to copy such data to the sink Dynamics entity field CustomerField of type Customer.

In copy-activity column mapping, map the two columns as follows:

CustomerField to CustomerField. This mapping is the normal field mapping.
Target to CustomerField@EntityReference. The sink column is a virtual column representing the entity reference. Input such field names in a mapping, as they won't show up by importing schemas.

Dynamics lookup-field column mapping

If all of your source records map to the same target entity and your source data doesn't contain the target entity name, here is a shortcut: in the copy activity source, add an additional column. Name the new column by using the pattern {lookup_field_name}@EntityReference, set the value to the target entity name, then proceed with column mapping as usual. If your source and sink column names are identical, you can also skip explicit column mapping because copy activity by default maps columns by name.

Dynamics lookup-field adding an entity-reference column

Writing data to a lookup field via alternative keys

To write data into a lookup field using alternate key columns, follow this guidance and example:

Ensure your source contains all the lookup key columns.
The alternate key columns must be mapped to the column with the special naming pattern {lookup_field_name}@{alternate_key_column_name}. The column doesn't exist in Dynamics. It's used to indicate that this column is used to look up the record in the target entity.
Go to Mapping tab in the sink transformation of mapping data flows. Select the alternate key as output columns under the Lookup field. The value after indicates the key columns of this alternate key.
Once selected, the alternate key columns will automatically display in below.
Map your input columns on left with the output columns.

Note

Currently this is only supported when you use inline mode in the sink transformation of mapping data flows.

Mapping data flow properties

When transforming data in mapping data flow, you can read from and write to tables in Dynamics. For more information, see the source transformation and sink transformation in mapping data flows. You can choose to use a Dynamics dataset or an inline dataset as source and sink type.

Source transformation

The below table lists the properties supported by Dynamics. You can edit these properties in the Source options tab.

Name	Description	Required	Allowed values	Data flow script property
Entity name	The logical name of the entity to retrieve.	Yes when use inline dataset	-	(for inline dataset only) entity
Query	FetchXML is a proprietary query language that is used in Dynamics online and on-premises. See the following example. To learn more, see Build queries with FetchXML.	No	String	query

Note

If you select Query as input type, the column type from tables can not be retrieved. It will be treated as string by default.

Dynamics source script example

When you use Dynamics dataset as source type, the associated data flow script is:

source(allowSchemaDrift: true,
	validateSchema: false,
	query: '<fetch mapping='logical' count='3 paging-cookie=''><entity name='new_dataflow_crud_test'><attribute name='new_name'/><attribute name='new_releasedate'/></entity></fetch>') ~> DynamicsSource

If you use inline dataset, the associated data flow script is:

source(allowSchemaDrift: true,
	validateSchema: false,
	store: 'dynamics',
	format: 'dynamicsformat',
	entity: 'Entity1',
	query: '<fetch mapping='logical' count='3 paging-cookie=''><entity name='new_dataflow_crud_test'><attribute name='new_name'/><attribute name='new_releasedate'/></entity></fetch>') ~> DynamicsSource

Sink transformation

The below table lists the properties supported by Dynamics sink. You can edit these properties in the Sink options tab.

Name	Description	Required	Allowed values	Data flow script property
Alternate key name	The alternate key name defined on your entity to do an update, upsert or delete.	No	-	alternateKeyName
Update method	Specify what operations are allowed on your database destination. The default is to only allow inserts. To update, upsert, or delete rows, an Alter row transformation is required to tag rows for those actions.	Yes	`true` or `false`	insertable updateable upsertable deletable
Entity name	The logical name of the entity to write.	Yes when use inline dataset	-	(for inline dataset only) entity

Dynamics sink script example

When you use Dynamics dataset as sink type, the associated data flow script is:

IncomingStream sink(allowSchemaDrift: true,
    validateSchema: false,
    deletable:true,
    insertable:true,
    updateable:true,
    upsertable:true,
    skipDuplicateMapInputs: true,
    skipDuplicateMapOutputs: true) ~> DynamicsSink

If you use inline dataset, the associated data flow script is:

IncomingStream sink(allowSchemaDrift: true,
    validateSchema: false,
    store: 'dynamics',
    format: 'dynamicsformat',
    entity: 'Entity1',
    deletable: true,
    insertable: true,
    updateable: true,
    upsertable: true,
    skipDuplicateMapInputs: true,
    skipDuplicateMapOutputs: true) ~> DynamicsSink

Lookup activity properties

To learn details about the properties, see Lookup activity.

For a list of supported data stores the copy activity as sources and sinks, see Supported data stores.

แชร์ผ่าน

Copy and transform data in Dynamics 365 (Microsoft Dataverse) or Dynamics CRM using Azure Data Factory or Azure Synapse Analytics

Supported capabilities

Prerequisites

Get started

Create a linked service to Dynamics 365 (Microsoft Dataverse) or Dynamics CRM using UI

Connector configuration details

Linked service properties

Dynamics 365 and Dynamics CRM online

Example: Dynamics online using Microsoft Entra service principal and key authentication

Example: Dynamics online using Microsoft Entra service principal and certificate authentication

Example: Dynamics online using Office 365 authentication

Example: Dynamics online using user-assigned managed identity authentication

Dynamics 365 and Dynamics CRM on-premises with IFD

Example: Dynamics on-premises with IFD using Active Directory authentication

Dataset properties

Example

Copy activity properties

Dynamics as a source type

Example

Sample FetchXML query

Dynamics as a sink type

Example

Retrieving data from views

Data type mapping for Dynamics

Writing data to a lookup field

Writing data to a lookup field via alternative keys

Mapping data flow properties

Source transformation

Dynamics source script example

Sink transformation

Dynamics sink script example

Lookup activity properties

คำติชม

แหล่งทรัพยากรเพิ่มเติม

แชร์ผ่าน

Copy and transform data in Dynamics 365 (Microsoft Dataverse) or Dynamics CRM using Azure Data Factory or Azure Synapse Analytics

Supported capabilities

Prerequisites

Get started

Create a linked service to Dynamics 365 (Microsoft Dataverse) or Dynamics CRM using UI

Connector configuration details

Linked service properties

Dynamics 365 and Dynamics CRM online

Example: Dynamics online using Microsoft Entra service principal and key authentication

Example: Dynamics online using Microsoft Entra service principal and certificate authentication

Example: Dynamics online using Office 365 authentication

Example: Dynamics online using user-assigned managed identity authentication

Dynamics 365 and Dynamics CRM on-premises with IFD

Example: Dynamics on-premises with IFD using Active Directory authentication

Dataset properties

Example

Copy activity properties

Dynamics as a source type

Example

Sample FetchXML query

Dynamics as a sink type

Example

Retrieving data from views

Data type mapping for Dynamics

Writing data to a lookup field

Writing data to a lookup field via alternative keys

Mapping data flow properties

Source transformation

Dynamics source script example

Sink transformation

Dynamics sink script example

Lookup activity properties

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