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Visualize Gmail Data in TIBCO Spotfire through ADO.NET

Integrate Gmail data into dashboards in TIBCO Spotfire.

This article walks you through using the CData ADO.NET Provider for Gmail in TIBCO Spotfire. You will establish a connection and create a simple dashboard.

  1. Add the CData ADO.NET data source by clicking Add Data Tables.
  2. Click Add -> Database.
  3. Select the provider and click Configure.
  4. Define the connection settings. Below is a typical connection string:

    User=username;Password=password;

    There are two ways to authenticate to Gmail. Before selecting one, first ensure that you have enabled IMAP access in your Gmail account settings. See the "Connecting to Gmail" section under "Getting Started" in the installed documentation for a guide.

    The User and Password properties, under the Authentication section, can be set to valid Gmail user credentials.

    Alternatively, instead of providing the Password, you can use the OAuth authentication standard. To access Google APIs on behalf on individual users, you can use the embedded credentials or you can register your own OAuth app.

    OAuth also enables you to use a service account to connect on behalf of users in a Google Apps domain. To authenticate with a service account, you will need to register an application to obtain the OAuth JWT values.

    In addition to the OAuth values, you will need to provide the User. See the "Getting Started" chapter in the help documentation for a guide to using OAuth.

    When you configure the connection, 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.

  5. Select the tables that you want to add to the dashboard. This example uses Inbox. 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 Size in the Numbers section and Subject 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 apply a filter: After clicking the Filter button, the available filters for each query are displayed in the Filters pane.