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Visualize Cosmos DB Data in TIBCO Spotfire through ODBC

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

This article walks you through using the CData ODBC Driver for Cosmos DB 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 Cosmos DB 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.

To obtain the connection string needed to connect to a Cosmos DB account using the MongoDB API, log in to the Azure Portal, select Azure Cosmos DB, and select your account. In the Settings section, click Connection String.

  • Server: Set this to the Host value. You can specify the port here or in Port.
  • Port: Specify the port number.
  • Database: Set this to the database you want to read from and write to.
  • User: Set this to the username to be used to perform MongoDB authentication to the database.
  • Password: Set this to the user's password.

To access Cosmos DB tables you can use automatic schema discovery or write your own schema definitions. Schemas are defined in .rsd files, which have a simple format that makes them easy to extend. You can also execute free-form queries that are not tied to the schema.

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 Cosmos DB 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 restaurants. 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 cuisine in the Numbers section and borough 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.