Import Active Directory Data Using Azure Data Factory

Microsoft Azure Data Factory (ADF)) is a completely managed, serverless data integration service. When combined with CData Connect Cloud, ADF enables immediate cloud-to-cloud access to Active Directory data within data flows. This article outlines the process of connecting to Active Directory through Connect Cloud and accessing Active Directory data within ADF.

CData Connect Cloud offers a cloud-to-cloud interface tailored for Active Directory, granting you the ability to access live data from Active Directory data within Azure Data Factory without the need for data replication to a natively supported database. Equipped with optimized data processing capabilities by default, CData Connect Cloud seamlessly channels all supported SQL operations, including filters and JOINs, directly to Active Directory. This harnesses server-side processing to expedite the retrieval of the desired Active Directory data.

Configure Active Directory Connectivity for ADF

Connectivity to Active Directory from Azure Data Factory is made possible through CData Connect Cloud. To work with Active Directory data from Azure Data Factory, we start by creating and configuring a Active Directory connection.

CData Connect Cloud uses a straightforward, point-and-click interface to connect to data sources.

1. Log into Connect Cloud, click Connections and click Add Connection
2. Select "Active Directory" from the Add Connection panel
3. Enter the necessary authentication properties to connect to Active Directory.

   To establish a connection, set the following properties:

   • Valid User and Password credentials (e.g., Domain\BobF or cn=Bob F,ou=Employees,dc=Domain).
   • Server information, including the IP or host name of the Server, as well as the Port.

   • BaseDN: This will limit the scope of LDAP searches to the height of the distinguished name provided.

     Note: Specifying a narrow BaseDN may greatly increase performance; for example, cn=users,dc=domain will only return results contained within cn=users and its children.

4. Click Create & Test
5. Navigate to the Permissions tab in the Add Active Directory Connection page and update the User-based permissions.

Add a Personal Access Token

If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.

1. Click on your username at the top right of the Connect Cloud app and click User Profile.
2. On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
3. Give your PAT a name and click Create.
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured, you are ready to connect to Active Directory data from Azure Data Factory.

Access Live Active Directory Data in Azure Data Factory

To establish a connection from Azure Data Factory to the CData Connect Cloud Virtual SQL Server API, follow these steps.

1. Login to Azure Data Factory.
2. If you have not yet created a Data Factory, Click New -> Dataset.
3. In the search bar, enter SQL Server and select it when it appears. On the following screen, enter a name for the server. In the Linked service field, select New.
4. Enter the connection settings.
   • Name - enter a name of your choice.
   • Server name - enter the Virtual SQL Server endpoint and port separated by a comma: tds.cdata.com,14333
   • Database name - enter the Connection Name of the CData Connect Cloud data source you want to connect to (for example, ActiveDirectory1).
   • User Name - enter your CData Connect Cloud username. This is displayed in the top-right corner of the CData Connect Cloud interface. For example, test@cdata.com.
   • Password - select Password (not Azure Key Vault) and enter the PAT you generated on the Settings page.
   • Click Create.
5. In Set properties, set the Name, choose the Linked service we just created, select a Table name from those available, and Import schema from connection/store. Click OK.
6. After creating the linked service, the following screen should appear:
7. Click preview data to see the imported Active Directory table.
You can now use this dataset when creating data flows in Azure Data Factory.

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