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Build QuickBase-Connected ETL Processes in Google Data Fusion

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

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

Upload the CData JDBC Driver for QuickBase to Google Data Fusion

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

Connect to QuickBase Data in Google Data Fusion

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

      jdbc:quickbase:RTK=5246...;User=user@domain.com;Password=password;Domain=myinstance.quickbase.com;ApplicationToken=bwkxrb5da2wn57bzfh9xn24

      User Authentication Method

      To authenticate with user credentials, specify the following connection properties:

      1. Set the User and Password.
      2. If your application requires an ApplicationToken;, you must provide it otherwise an error will be thrown. You can find the ApplicationToken under SpecificApp > Settings > App management > App properties > Advanced settings > Security options > Manage Application Token.

      User Token Authentication

      To authenticate with a user token, specify the following connection properties:

      1. Set UserToken and you are ready to connect. You can find the UserToken under Quick Base > My Preferences > My User Information > Manage User Tokens.

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

      java -jar cdata.jdbc.quickbase.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 QuickBase, i.e.:
      SELECT * FROM SampleTable_1
  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 quickbase-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 QuickBase data into

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

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