Build Adobe Target-Connected ETL Processes in Google Data Fusion

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

Upload the CData JDBC Driver for Adobe Target to Google Data Fusion

Upload the CData JDBC Driver for Adobe Target to your Google Data Fusion instance to work with live Adobe Target 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 driver-version.jar. For example: cdataadobetarget-2020.jar

1. Open your Google Data Fusion instance
2. Click the to add an entity and upload a driver 👁 Image
   
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.adobetarget) and make note of the name
   • Class name: Set the JDBC class name: (cdata.jdbc.adobetarget.AdobeTargetDriver)
   👁 Configuring the driver (Salesforce is shown.)
   
5. Click "Finish"

Connect to Adobe Target Data in Google Data Fusion

With the JDBC Driver uploaded, you are ready to work with live Adobe Target 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 👁 Adding a database source
   
3. Click "Properties" on the Database source to edit the properties

   NOTE: To use the JDBC Driver in Google Data Fusion, you will need a license (full or trial) and a Runtime Key (RTK). For more information on obtaining this license (or a trial), contact our sales team.

   • Set the Label
   • Set Reference Name to a value for any future references (i.e.: cdata-adobetarget)
   • Set Plugin Type to "jdbc"
   • Set Connection String to the JDBC URL for Adobe Target. For example:
     
     jdbc:adobetarget:RTK=5246...;Tenant=mycompanyname;InitiateOAuth=GETANDREFRESH;

     To connect to Adobe Target, you must provide the Tenant property along with OAuth connection properties mentioned below. Note that while other connection properties can influence processing behavior, they do not affect the ability to connect.

     To determine your Tenant name:

     1. Log in to Adobe Experience. The URL will look similar to: "https://experience.adobe.com/#/@mycompanyname/preferences/general-section".
     2. Extract the value after the "/#/@". In this example, it is "mycompanyname".
     3. Set the Tenant connection property to that value.

     User Accounts (OAuth)

     You must set AuthScheme to OAuthClient for all user account flows.

     Note: Adobe authentication via OAuth requires updating your token every two weeks.

     All Applications

     CData provides an embedded OAuth application that simplifies OAuth authentication. Alternatively, you can create a custom OAuth application. Review Creating a Custom OAuth App in the Help documentation for more information.

     Obtaining the OAuth Access Token

     Set the following properties to connect:

     • InitiateOAuth: Set to GETANDREFRESH to automatically perform the OAuth exchange and refresh the OAuthAccessToken as needed.
     • OAuthClientId : Set to the client Id assigned when you registered your app.
     • OAuthClientSecret : Set to the client secret assigned when you registered your app.
     • CallbackURL : Set to the redirect URI defined when you registered your app. For example: https://localhost:3333

     With these settings, the provider obtains an access token from Adobe Target, which it uses to request data. The OAuth values are stored in the location specified by OAuthSettingsLocation, ensuring they persist across connections.

     Built-in Connection String Designer

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

      java -jar cdata.jdbc.adobetarget.jar
      

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

     👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)
     
   • Set Import Query to a SQL query that will extract the data you want from Adobe Target, i.e.:
     SELECT * FROM Activities
   👁 Configuring the database source
   
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 adobetarget-bigquery
   • Set Project 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 Adobe Target data into
   👁 Configuring the BigQuery sink
   

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

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