Transform data in Zendesk (Preview) using Azure Data Factory or Synapse Analytics

APPLIES TO: Azure Data Factory Azure Synapse Analytics

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This article outlines how to use Data Flow to transform data in Zendesk (Preview). To learn more, read the introductory article for Azure Data Factory or Azure Synapse Analytics.

Important

This connector is currently in preview. You can try it out and give us feedback. If you want to take a dependency on preview connectors in your solution, please contact Azure support.

Supported capabilities

This Zendesk connector is supported for the following capabilities:

Supported capabilities	IR
Mapping data flow (source/-)	①

① Azure integration runtime ② Self-hosted integration runtime

For a list of data stores that are supported as sources/sinks, see the Supported data stores table.

Create a Zendesk linked service using UI

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

1. Browse to the Manage tab in your Azure Data Factory or Synapse workspace and select Linked Services, then select New:

   Azure Data Factory

   

   Azure Synapse

   

2. Search for Zendesk (Preview) and select the Zendesk (Preview) connector.

   

3. Configure the service details, test the connection, and create the new linked service.

   

Connector configuration details

The following sections provide information about properties that are used to define Data Factory and Synapse pipeline entities specific to Zendesk.

Linked service properties

The following properties are supported for the Zendesk linked service:

Property	Description	Required
type	The type property must be set to Zendesk.	Yes
url	The base URL of your Zendesk service.	Yes
authenticationType	Type of authentication used to connect to the Zendesk service. Allowed values are basic and token. Refer to corresponding sections below on more properties and examples respectively.	Yes

Basic authentication

Set the authenticationType property to basic. In addition to the generic properties that are described in the preceding section, specify the following properties:

Property	Description	Required
userName	The user name used to log in to Zendesk.	Yes
password	Specify a password for the user account you specified for the user name. Mark this field as SecureString to store it securely. Or, you can reference a secret stored in Azure Key Vault.	Yes

Example:

JSON

{
    "name": "ZendeskLinkedService",
    "properties": {
        "type": "Zendesk",
        "typeProperties": {
            "url": "<base url>",
            "authenticationType": "basic",
            "userName": "<user name>",
            "password": {
                "type": "SecureString",
                "value": "<password>"
            }
        }
    }
}

Token authentication

Set the authenticationType property to token. In addition to the generic properties that are described in the preceding section, specify the following properties:

Property	Description	Required
apiToken	Specify an API token for the Zendesk. Mark this field as SecureString to store it securely. Or, you can reference a secret stored in Azure Key Vault.	Yes

Example:

JSON

{
    "name": "ZendeskLinkedService",
    "properties": {
        "type": "Zendesk",
        "typeProperties": {
            "url": "<base url>",
            "authenticationType": "token",
            "apiToken": {
                "type": "SecureString",
                "value": "<API token>"
            }
        }
    }
}

Mapping data flow properties

When transforming data in mapping data flow, you can read tables from Zendesk. For more information, see the source transformation in mapping data flows. You can only use an inline dataset as source type.

Source transformation

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

Name	Description	Required	Allowed values	Data flow script property
Entity	The logical name of the entity in Zendesk.	Yes when use inline mode	activities group_memberships groups organizations requests satisfaction_ratings sessions tags targets ticket_audits ticket_fields ticket_metrics tickets triggers users views	entity

Zendesk source script examples

source(allowSchemaDrift: true,
	validateSchema: false,
	store: 'zendesk',
	format: 'rest',
	entity: 'tickets') ~> ZendeskSource

Related content

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