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Build Oracle Sales Cloud-Connected ETL Processes in Google Data Fusion

Load the CData JDBC Driver into Google Data Fusion and create ETL processes with access live Oracle Sales Cloud data.

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

Upload the CData JDBC Driver for Oracle Sales Cloud to Google Data Fusion

Upload the CData JDBC Driver for Oracle Sales Cloud to your Google Data Fusion instance to work with live Oracle Sales Cloud 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.oraclesalescloud-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.oraclesalescloud) and make note of the name
    • Class name: Set the JDBC class name: (cdata.jdbc.oraclesalescloud.OracleSalesCloudDriver)
  5. Click "Finish"

Connect to Oracle Sales Cloud Data in Google Data Fusion

With the JDBC Driver uploaded, you are ready to work with live Oracle Sales Cloud 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-oraclesalescloud)
    • Set Plugin Type to "jdbc"
    • Set Connection String to the JDBC URL for Oracle Sales Cloud. For example:

      jdbc:oraclesalescloud:RTK=5246...;HostURL=https://my.host.oraclecloud.com; Username=abc123; Password=abcdef;

      OracleSalesCloud uses Basic authentication over SSL; after setting the following connection properties, you are ready to connect:

      • Username: Set this to the user name that you use to log into your Oracle Cloud service.
      • Password: Set this to your password.
      • HostURL: Set this to the Web address (URL) of your Oracle Cloud service.

      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 Oracle Sales Cloud JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

      java -jar cdata.jdbc.oraclesalescloud.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 Oracle Sales Cloud, i.e.:
      SELECT * FROM Opportunities
  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 oraclesalescloud-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 Oracle Sales Cloud data into

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

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