Visualize Google Cloud Storage Data from Tableau

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Google Cloud Storage JDBC Driver

Rapidly create and deploy powerful Java applications that integrate with Google Cloud Storage.



Use the Tableau Desktop business intelligence tool to connect to Google Cloud Storage data.

With CData Drivers for Google Cloud Storage, you can use data access standards to unlock connectivity to business intelligence tools like Tableau. The CData JDBC Driver for Google Cloud Storage allows you to connect from Tableau on Windows and macOS. This article covers how to discover schemas and query Google Cloud Storage data data in real-time.

NOTE: If you are using Tableau 2020.3 or higher, you can use the CData Tableau Connector for Google Cloud Storage. If you wish to connect to Google Cloud Storage data in Tableau Online, you will need to use CData Connect Cloud.

Connect to Google Cloud Storage in Tableau

Before starting Tableau, make sure you've placed the .jar file in the correct folder:

  • Windows: C:\Program Files\Tableau\Drivers
  • MacOS: ~/Library/Tableau/Drivers

Once your .jar file is in place, establishing a connection is straightforward.

  1. Start Tableau.
  2. Under To a Server, select More.
  3. Select Other Databases (JDBC)
  4. Enter the JDBC connection string in the URL field.
  5. Authenticate with a User Account

    You can connect without setting any connection properties for your user credentials. After setting InitiateOAuth to GETANDREFRESH, you are ready to connect.

    When you connect, the Google Cloud Storage OAuth endpoint opens in your default browser. Log in and grant permissions, then the OAuth process completes

    Authenticate with a Service Account

    Service accounts have silent authentication, without user authentication in the browser. You can also use a service account to delegate enterprise-wide access scopes.

    You need to create an OAuth application in this flow. See the Help documentation for more information. After setting the following connection properties, you are ready to connect:

    • InitiateOAuth: Set this to GETANDREFRESH.
    • OAuthJWTCertType: Set this to "PFXFILE".
    • OAuthJWTCert: Set this to the path to the .p12 file you generated.
    • OAuthJWTCertPassword: Set this to the password of the .p12 file.
    • OAuthJWTCertSubject: Set this to "*" to pick the first certificate in the certificate store.
    • OAuthJWTIssuer: In the service accounts section, click Manage Service Accounts and set this field to the email address displayed in the service account Id field.
    • OAuthJWTSubject: Set this to your enterprise Id if your subject type is set to "enterprise" or your app user Id if your subject type is set to "user".
    • ProjectId: Set this to the Id of the project you want to connect to.

    The OAuth flow for a service account then completes.

    Built-in Connection String Designer

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

    From Windows:

    java -jar 'C:\Program Files\CData\CData JDBC Driver for Google Cloud Storage\lib\cdata.jdbc.googlecloudstorage.jar'

    From MacOS:

    java -jar cdata.jdbc.googlecloudstorage.jar

    Fill in the connection properties and copy the connection string to the clipboard.

    When you configure the JDBC URL, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

    The following is a sample URL created in the designer:

    jdbc:googlecloudstorage:ProjectId='project1';InitiateOAuth=GETANDREFRESH;
  6. Select Sign in.

Discover Schemas and Query Data

  1. Select CData from the Database pull-down menu.
  2. Select CData from the Schema pull-down menu.
  3. Drag the table onto the join area. You can include multiple tables.
  4. Select Update Now or Automatically Update. Update Now lets you preview the first 10,000 rows of the data source (or enter the number of rows you want to see in the Rows text box). Automatically Update automatically reflects the changes in the preview area.
  5. In the Connection menu, select the Live option, so that you skip loading a copy of the data into Tableau and instead work on real-time data.
  6. Click the tab for your worksheet. Columns are listed as Dimensions and Measures, depending on the data type. The CData Driver discovers data types automatically, allowing you to leverage the powerful data processing and visualization features of Tableau.
  7. Click and drag a field from the Dimensions or Measures area to Rows or Columns. Tableau creates column or row headers.
  8. Select one of the chart types from the Show Me tab. Tableau displays the chart type that you selected.

Using the CData JDBC Driver for Google Cloud Storage with Tableau, you can easily create robust visualizations and reports on Google Cloud Storage data. Download a free, 30-day trial and get started today.