Technical Documentation : Connectors : Adding an Azure Data Factory Connection
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Adding an Azure Data Factory Connection
Prerequisites
  • A user with sufficient permissions is required to establish a connection with Data Factory.
  • Zeenea traffic flows towards the data source must be open.
Note: You can find a link to the configuration template in Zeenea Connector Downloads.
Supported Versions
The Azure Data Factory connector is compatible with the product online version.
Installing the Plugin
The Azure plugin can be downloaded here: Zeenea Connector Downloads.
For more information on how to install a plugin, please refer to the following article: Installing and Configuring Connectors as a Plugin.
Declaring the Connection
Creating and configuring connectors is done through a dedicated configuration file located in the /connections folder of the relevant scanner.
In order to establish a connection with an Azure Data Factory instance, specifying the following parameters in the dedicated file is required:
Parameter
Expected Value
name
The name that will be displayed to catalog users for this connection
code
Unique identifier of the connection on the Zeenea platform. Once registered on the platform, this code must not be modified or the connection will be considered as new and the old one removed from the scanner.
connector_id
The type of connector to be used for the connection. Here, the value must be azure-datafactory and this value must not be modified.
connection.url
Connection address (example: https://management.azure.com/subscriptions/{subscription ID})
connection.oauth.client_id
Application ID (client) as defined in Azure
connection.oauth.client_secret
Client secret
connection.oauth.endpoint
Azure Data Factory API endpoint. Must respect following format: https://login.microsoftonline.com/{tenant ID}/oauth2/token.
connection.oauth.resource
Azure Data Factory URL: https://management.azure.com
connection.factory.names
(Optional) Factory list names to be synchronized
connection.resource.group
(Optional) Resource group name to be synchronized
multi_catalog.enabled
Set to true if the dataset source system is also configured as multi catalog. Default value false.
tls.truststore.path
The Trust Store file path. This file must be provided in case TLS encryption is activated (protocol https) and when certificates of servers are delivered by a specific authority. It must contain the certification chain.
tls.truststore.password
Password of the trust store file
tls.truststore.type
Type of the trust store file (PKCS12 or JKS). Default value is discovered from the file extension.
proxy.scheme
Depending on the proxy, http or https
proxy.hostname
Proxy address
proxy.port
Proxy port
proxy.username
Proxy username
proxy.password
Proxy account password
User Permissions
In order to collect metadata, the service principal's permissions must allow them to access and read pipelines that need cataloging.
Here, the service principal must have the Reader role in the Data Factory.
Data Extraction
To extract information, the connector runs requests on the Azure Data Factory Rest API.
During synchronize:
API Azure Data Factory
  • GEThttps://login.microsoftonline.com:443/{tenantId}/oauth2/token
    • Resource: https://management.azure.com
  • GET https://management.azure.com/subscriptions/{subscriptionId}/providers/Microsoft.DataFactory/factories/{factoryName}?api-version=2018-06-01
  • GET https://management.azure.com/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DataFactory/factories/{factoryName}/pipelines?api-version=2018-06-01
  • GET https://management.azure.com/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DataFactory/factories/{factoryName}/linkedservices?api-version=2018-06-01
  • GET https://management.azure.com/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DataFactory/factories/{factoryName}/dataflows/{dataflowName}?api-version=2018-06-01
  • GET https://management.azure.com/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DataFactory/factories/{factoryName}/datasets/{datasetName}?api-version=2018-06-01
Azure Key Vault
  • GET https://login.microsoftonline.com:443/{tenantId}/oauth2/token
    • Resource: https://vault.azure.net
  • GET https://{azureKeyVaultUrl}/secrets/{secretName}?api-version=7.4
  • GET https://{azureKeyVaultUrl}/secrets/{secretName}/{secretVersion}?api-version=7.4
Synchronization
The connector will synchronize all pipelines identified in the Data Factory and automatically represent them in the catalog.
Lineage
The Azure Data Factory connector is able to retrieve the lineage between datasets that have been imported to the catalog. Datasets from other connections must have been previously imported to the catalog to be linked to the Azure Data Factory process. This feature is available for the following systems and, for it to work, an additional parameter is needed in the configuration file of the source system connection as configured in the Azure Data Factory connection configuration panel. For example, if the Azure Data Factory job uses a table coming from a SQL Server table, then a new alias parameter must be added in the SQL Server connection configuration file.
The table below summarizes the possible values of the alias parameter to be completed in the data source configuration file.
Source System
Model
Example
SQL Server
Server name:port/Database name
alias = ["zeenea.database.windows.net:1433/db"] *
ADLS
Storage account.dfs.core.windows.net
alias = [".dfs.core.windows.net"]
Snowflake
Server name/Database name
alias = ["kn999999.eu-west-1.snowflakecomputing.com/ZEENEA""] *
(*) Do not fill in the database name if the configuration of the connector is in multi_catalog.enabled = true.
Data Process
A data process is the representation of a pipeline.
  • Name
  • Source Description
  • Technical Data:
    • Datafactory Name
    • Azure Group Name
    • Dataprocess Id
    • Dataprocess Modification Date
Unique Identification Keys
A key is associated with each item of the catalog. When the object comes from an external system, the key is built and provided by the connector.
Object
Identifier Key
Description
Data process
code/dataprocess id
- code: Unique identifier of the connection noted in the configuration file
- dataprocess id: The pipeline's Azure identifier
Last modified date: 11/28/2025