Visualize Google Data Catalog Data in TIBCO Spotfire through ODBC

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Google Data Catalog ODBC Driver

The Google Data Catalog ODBC Driver is a powerful tool that allows you to connect with live data from Google Data Catalog, directly from any applications that support ODBC connectivity.

Access Google Data Catalog data like you would a database - read, write, and update Google Data Catalog Schemas, Tables, etc. through a standard ODBC Driver interface.



The ODBC standard has ubiquitous support and makes self-service business intelligence easy. Use the ODBC Driver to load Google Data Catalog data into TIBCO Spotfire.

This article walks you through using the CData ODBC Driver for Google Data Catalog in TIBCO Spotfire. You will use the data import wizard to connect to a DSN (data source name) for Salesforce and build on the sample visualizations to create a simple dashboard.

Connect to Google Data Catalog as an ODBC Data Source

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

Google Data Catalog uses the OAuth authentication standard. Authorize access to Google APIs on behalf on individual users or on behalf of users in a domain.

Before connecting, specify the following to identify the organization and project you would like to connect to:

  • OrganizationId: The ID associated with the Google Cloud Platform organization resource you would like to connect to. Find this by navigating to the cloud console.

    Click the project selection drop-down, and select your organization from the list. Then, click More -> Settings. The organization ID is displayed on this page.

  • ProjectId: The ID associated with the Google Cloud Platform project resource you would like to connect to.

    Find this by navigating to the cloud console dashboard and selecting your project from the Select from drop-down. The project ID will be present in the Project info card.

When you connect, the OAuth endpoint opens in your default browser. Log in and grant permissions to the application to completes the OAuth process. For more information, refer to the OAuth section in the Help documentation.

When you configure the DSN, 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.

Create Visualizations of Google Data Catalog Tables

Follow the steps below to connect to the DSN and create real-time data visualizations:

  1. Click File -> Add Data Tables.
  2. Click Add -> Database.
  3. In the Data Source Type menu, select ODBC Provider and click Configure.
  4. Select the DSN.
  5. Select the tables that you want to add to the dashboard. This example uses Schemas. You can also specify an SQL query. The driver supports the standard SQL syntax.
  6. If you want to work with the live data, click the Keep Data Table External option. This option enables your dashboards to reflect changes to the data in real time.

    If you want to load the data into memory and process the data locally, click the Import Data Table option. This option is better for offline use or if a slow network connection is making your dashboard less interactive.

  7. After adding tables, the Recommended Visualizations wizard is displayed. When you select a table, Spotfire uses the column data types to detect number, time, and category columns. This example uses DatasetName in the Numbers section and Type in the Categories section.

After adding several visualizations in the Recommended Visualizations wizard, you can make other modifications to the dashboard. For example, you can zoom in on high probability opportunities by applying a filter on the page. To add a filter, click the Filter button. The available filters for each query are displayed in the Filters pane.