Build Visualizations of Google Cloud Storage Data in Birst

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Google Cloud Storage JDBC Driver

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



Use the CData JDBC Driver for Google Cloud Storage and the Birst Cloud Agent to build real-time visualizations of Google Cloud Storage data in Birst.

Birst is a cloud business intelligence (BI) tool and analytics platform that helps organizations quickly understand and optimize complex processes. When paired with the CData JDBC Driver for Google Cloud Storage, you can connect to live Google Cloud Storage data through the Birst Cloud Agent and build real-time visualizations. In this article, we walk you through, step-by-step, how to connect to Google Cloud Storage using the Cloud Agent and create dynamic reports in Birst.

With powerful data processing capabilities, the CData JDBC Driver offers unmatched performance for live Google Cloud Storage data operations in Birst. When you issue complex SQL queries from Birst to Google Cloud Storage, the driver pushes supported SQL operations, like filters and aggregations, directly to Google Cloud Storage and utilizes the embedded SQL Engine to process unsupported operations client-side (often SQL functions and JOIN operations). With built-in dynamic metadata querying, the JDBC driver enables you to visualize and analyze Google Cloud Storage data using native Birst data types.

Configure a JDBC Connection to Google Cloud Storage Data in Birst

Before creating the Birst project, you will need to install the Birst Cloud Agent (in order to work with the installed JDBC Driver). Also, copy the JAR file for the JDBC Driver (and the LIC file, if it exists) to the /drivers/ directory in the installation location for the Cloud Agent.

With the driver and Cloud Agent installed, you are ready to begin.

  1. Create a new project in Birst.
  2. Name the connection (e.g. CDataGoogleCloudStorage).
  3. Choose Live Access.
  4. Select an agent.
  5. Set Database Type to Other.
  6. Set SQL Type to MSSQL
  7. Set the Connection string.

    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.

    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.

    Below is a typical JDBC connection string for Google Cloud Storage:

    jdbc:googlecloudstorage:ProjectId='project1';InitiateOAuth=GETANDREFRESH
  8. Set the Driver Name: cdata.jdbc.googlecloudstorage.GoogleCloudStorageDriver and click Save.

NOTE: Since authentication to Google Cloud Storage is managed from the connection string, you can leave Security Credentials blank.

Configure Google Cloud Storage Data Objects

Now that the connection is configured, we are ready to configure the schema for the dataset, choosing the tables, views, and columns we wish to visualize.

  1. Select the Schema (e.g. GoogleCloudStorage).
  2. Click on Tables and/or Views to connect to those entities and click Apply.
  3. Select the Tables and Columns you want to access and click Done.

With the objects configured, you can perform any data preparation and discover any relationships in your data using the Pronto Prepare and Relate tools.

Build a Visualization

After you prepare your data and define relationships between the connected objects, you are ready to build your visualization.

  1. Select the Visualizer tool from the menu.
  2. Select Measures & Categories from your objects
  3. Select and configure the appropriate visualization for the Measure(s) you selected.

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