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Pipe QuickBooks POS Data in Google Data Fusion

Load the CData JDBC Driver into Google Data Fusion and pipe live QuickBooks POS data to any supported data platform.

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

Upload the CData JDBC Driver for QuickBooks POS to Google Data Fusion

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

Pipe QuickBooks POS Data in Google Data Fusion

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

      jdbc:quickbookspos:5246...;

      When you are connecting to a local QuickBooks instance, you do not need to set any connection properties.

      Requests are made to QuickBooks POS through the Remote Connector. The Remote Connector runs on the same machine as QuickBooks POS and accepts connections through a lightweight, embedded Web server. The server supports SSL/TLS, enabling users to connect securely from remote machines.

      The first time you connect, you will need to authorize the Remote Connector with QuickBooks POS. See the "Getting Started" chapter of the help documentation for a guide.

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

      java -jar cdata.jdbc.quickbookspos.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 QuickBooks POS, i.e.:
      SELECT * FROM Customers
  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 quickbookspos-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 QuickBooks POS data into

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

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