Visualize Zuora Data in TIBCO Spotfire through ODBC

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Zuora ODBC Driver

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

Access Zuora data like you would a database - read, write, and update Zuora. 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 Zuora data into TIBCO Spotfire.

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

Zuora uses the OAuth standard to authenticate users. See the online Help documentation for a full OAuth authentication guide.

Configuring Tenant property

In order to create a valid connection with the provider you need to choose one of the Tenant values (USProduction by default) which matches your account configuration. The following is a list with the available options:

  • USProduction: Requests sent to https://rest.zuora.com.
  • USAPISandbox: Requests sent to https://rest.apisandbox.zuora.com"
  • USPerformanceTest: Requests sent to https://rest.pt1.zuora.com"
  • EUProduction: Requests sent to https://rest.eu.zuora.com"
  • EUSandbox: Requests sent to https://rest.sandbox.eu.zuora.com"

Selecting a Zuora Service

Two Zuora services are available: Data Query and AQuA API. By default ZuoraService is set to AQuADataExport.

DataQuery

The Data Query feature enables you to export data from your Zuora tenant by performing asynchronous, read-only SQL queries. We recommend to use this service for quick lightweight SQL queries.

Limitations
  • The maximum number of input records per table after filters have been applied: 1,000,000
  • The maximum number of output records: 100,000
  • The maximum number of simultaneous queries submitted for execution per tenant: 5
  • The maximum number of queued queries submitted for execution after reaching the limitation of simultaneous queries per tenant: 10
  • The maximum processing time for each query in hours: 1
  • The maximum size of memory allocated to each query in GB: 2
  • The maximum number of indices when using Index Join, in other words, the maximum number of records being returned by the left table based on the unique value used in the WHERE clause when using Index Join: 20,000

AQuADataExport

AQuA API export is designed to export all the records for all the objects ( tables ). AQuA query jobs have the following limitations:

Limitations
  • If a query in an AQuA job is executed longer than 8 hours, this job will be killed automatically.
  • The killed AQuA job can be retried three times before returned as failed.

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 Zuora 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 Invoices. 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 BillingCity in the Numbers section and Id 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.