Build Google Ads-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 Google AdWords enables users to access live Google Ads data from within their Google Data Fusion pipelines. While the CData JDBC Driver enables piping Google Ads data to any data source natively supported in Google Data Fusion, this article explains how to pipe data from Google Ads to Google BigQuery,

Upload the CData JDBC Driver for Google AdWords to Google Data Fusion

Upload the CData JDBC Driver for Google AdWords to your Google Data Fusion instance to work with live Google Ads 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: cdatagoogleads-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.googleads) and make note of the name
   • Class name: Set the JDBC class name: (cdata.jdbc.googleads.GoogleAdsDriver)
   👁 Configuring the driver (Salesforce is shown.)
   
5. Click "Finish"

Connect to Google Ads Data in Google Data Fusion

With the JDBC Driver uploaded, you are ready to work with live Google Ads 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-googleads)
   • Set Plugin Type to "jdbc"
   • Set Connection String to the JDBC URL for Google Ads. For example:
     
     jdbc:googleads:RTK=5246...;DeveloperToken=MyDeveloperToken;ClientCustomerId=MyClientCustomerId;InitiateOAuth=GETANDREFRESH;

     Google uses the OAuth authentication standard. To access Google APIs on behalf on individual users, you can use the embedded credentials or you can register your own OAuth app.

     OAuth also enables you to use a service account to connect on behalf of users in a Google Apps domain. To authenticate with a service account, register an application to obtain the OAuth JWT values.

     In addition to the OAuth values, specify the DeveloperToken and ClientCustomerId.

     See the "Getting Started" chapter of the help documentation for a guide to using OAuth.

     Built-in Connection String Designer

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

      java -jar cdata.jdbc.googleads.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 Google Ads, i.e.:
     SELECT * FROM CampaignPerformance
   👁 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 googleads-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 Google Ads data into
   👁 Configuring the BigQuery sink
   

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

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