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

Upload the CData JDBC Driver for Zuora to Google Data Fusion

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

Connect to Zuora Data in Google Data Fusion

With the JDBC Driver uploaded, you are ready to work with live Zuora 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-zuora)
   • Set Plugin Type to "jdbc"
   • Set Connection String to the JDBC URL for Zuora. For example:
     
     jdbc:zuora:RTK=5246...;OAuthClientID=MyOAuthClientId;OAuthClientSecret=MyOAuthClientSecret;Tenant=USProduction;ZuoraService=DataQuery;InitiateOAuth=GETANDREFRESH;

     Zuora uses the OAuth standard to authenticate users. See the online Help documentation for a full OAuth authentication guide.

     Configuring Tenant property

     In order to create a valid connection with the provider you need to choose one of the Tenant values (USProduction by default) which matches your account configuration. The following is a list with the available options:

     • USProduction: Requests sent to https://rest.zuora.com.
     • USAPISandbox: Requests sent to https://rest.apisandbox.zuora.com"
     • USPerformanceTest: Requests sent to https://rest.pt1.zuora.com"
     • EUProduction: Requests sent to https://rest.eu.zuora.com"
     • EUSandbox: Requests sent to https://rest.sandbox.eu.zuora.com"

     Selecting a Zuora Service

     Two Zuora services are available: Data Query and AQuA API. By default ZuoraService is set to AQuADataExport.

     DataQuery

     The Data Query feature enables you to export data from your Zuora tenant by performing asynchronous, read-only SQL queries. We recommend to use this service for quick lightweight SQL queries.

     Limitations
     • The maximum number of input records per table after filters have been applied: 1,000,000
     • The maximum number of output records: 100,000
     • The maximum number of simultaneous queries submitted for execution per tenant: 5
     • The maximum number of queued queries submitted for execution after reaching the limitation of simultaneous queries per tenant: 10
     • The maximum processing time for each query in hours: 1
     • The maximum size of memory allocated to each query in GB: 2
     • The maximum number of indices when using Index Join, in other words, the maximum number of records being returned by the left table based on the unique value used in the WHERE clause when using Index Join: 20,000

     AQuADataExport

     AQuA API export is designed to export all the records for all the objects ( tables ). AQuA query jobs have the following limitations:

     Limitations
     • If a query in an AQuA job is executed longer than 8 hours, this job will be killed automatically.
     • The killed AQuA job can be retried three times before returned as failed.

     Built-in Connection String Designer

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

      java -jar cdata.jdbc.zuora.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 Zuora, i.e.:
     SELECT * FROM Invoices
   👁 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 zuora-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 Zuora data into
   👁 Configuring the BigQuery sink
   

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

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