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Pipe Active Directory Data in Google Data Fusion

Load the CData JDBC Driver into Google Data Fusion and pipe live Active Directory data to any supported data platform.

Google Data Fusion allows users to perform self-service data integration to consolidate disparate data. Uploading the CData JDBC Driver for Active Directory enables users to access live Active Directory data from within their Google Data Fusion pipelines. While the CData JDBC Driver enables piping Active Directory data to any data source natively supported in Google Data Fusion, this article walks through piping data from Active Directory to Google BigQuery,

Upload the CData JDBC Driver for Active Directory to Google Data Fusion

Upload the CData JDBC Driver for Active Directory to your Google Data Fusion instance to work with live Active Directory data. Due to the naming restrictions for JDBC drivers in Google Data Fusion, create a copy or rename the JAR file to match the following format -.jar. For example: cdata.jdbc.activedirectory-2019.jar

  1. Open your Google Data Fusion instance
  2. Click the to add an entity and upload a driver
  3. On the "Upload driver" tab, drag or browse to the renamed JAR file.
  4. On the "Driver configuration" tab:
    • Name: Create a name for the driver (cdata.jdbc.activedirectory) and make note of the name
    • Class name: Set the JDBC class name: (cdata.jdbc.activedirectory.ActiveDirectoryDriver)
  5. Click "Finish"

Pipe Active Directory Data in Google Data Fusion

With the JDBC Driver uploaded, you are ready to work with live Active Directory data in Google Data Fusion Pipelines.

  1. Navigate to the Pipeline Studio to create a new Pipeline
  2. From the "Source" options, click "Database" to add a source for the JDBC Driver
  3. Click "Properties" on the Database source to edit the properties
    • Set the Label
    • Set Reference Name to a value for any future references (i.e.: cdata-activedirectory)
    • Set Plugin Type to "jdbc"
    • Set Connection String to the JDBC URL for Active Directory. For example:

      jdbc:activedirectory:5246...;User=cn=Bob F,ou=Employees,dc=Domain;Password=bob123;Server=10.0.1.2;Port=389;

      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.

      To use the JDBC Driver in Google Data Fusion, you will need to set the RTK property in the JDBC URL. You can view the licensing file included in the installation for information on how to set this property.

      Built-in Connection String Designer

      For assistance in constructing the JDBC URL, use the connection string designer built into the Active Directory JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

      java -jar cdata.jdbc.activedirectory.jar

      Fill in the connection properties and copy the connection string to the clipboard.

    • Set Import Query to a SQL query that will extract the data you want from Active Directory, i.e.:
      SELECT * FROM User
  4. From the "Sink" tab, click to add a destination sink (we use Google BigQuery in this example)
  5. Click "Properties" on the BigQuery sink to edit the properties
    • Set the Label
    • Set Reference Name to a value like activedirectory-bigquery
    • Set Projcect ID to a specific Google BigQuery Project ID (or leave as the default, "auto-detect")
    • Set Dataset to a specific Google BigQuery dataset
    • Set Table to the name of the table you wish to insert Active Directory data into

With the Source and Sink configured, you are ready to pipe Active Directory data into Google BigQuery. Save and deploy the pipeline. When you run the pipeline, Google Data Fusion will request live data from Active Directory and import it into Google BigQuery.

While this is a simple pipeline, you can create more complex Active Directory pipelines with transforms, analytics, conditions, and more. Download a free, 30-day trial of the CData JDBC Driver for Active Directory and start working with your live Active Directory data in Google Data Fusion today.