Visualize QuickBooks Online Data in TIBCO Spotfire through OData



Integrate QuickBooks Online data into dashboards in TIBCO Spotfire.

OData is a major protocol enabling real-time communication among cloud-based, mobile, and other online applications. The CData API Server, when paired with the ADO.NET Provider for QuickBooks Online, provides QuickBooks Online data (or data from 200+ other ADO.NET Providers) to OData consumers like TIBCO Spotfire. This article shows how to use the API Server and Spotfire's built-in support for OData to access QuickBooks Online data in real time.

About QuickBooks Online Data Integration

CData provides the easiest way to access and integrate live data from QuickBooks Online. Customers use CData connectivity to:

  • Realize high-performance data reads thanks to push-down query optimization for complex operations like filters and aggregations.
  • Read, write, update, and delete QuickBooks Online data.
  • Run reports, download attachments, and send or void invoices directly from code using SQL stored procedures.
  • Connect securely using OAuth and modern cryptography, including TLS 1.2, SHA-256, and ECC.

Many users access live QuickBooks Online data from preferred analytics tools like Power BI and Excel, directly from databases with federated access, and use CData solutions to easily integrate QuickBooks Online data with automated workflows for business-to-business communications.

For more information on how customers are solving problems with CData's QuickBooks Online solutions, refer to our blog: https://www.cdata.com/blog/360-view-of-your-customers.


Getting Started


Set Up the API Server

Follow the steps below to begin producing secure QuickBooks Online OData services:

Deploy

The API Server runs on your own server. On Windows, you can deploy using the stand-alone server or IIS. On a Java servlet container, drop in the API Server WAR file. See the help documentation for more information and how-tos.

The API Server is also easy to deploy on Microsoft Azure, Amazon EC2, and Heroku.

Connect to QuickBooks Online

After you deploy the API Server and the ADO.NET Provider for QuickBooks Online, provide authentication values and other connection properties needed to connect to QuickBooks Online by clicking Settings -> Connections and adding a new connection in the API Server administration console.

QuickBooks Online uses the OAuth authentication standard. OAuth requires the authenticating user to log in through the browser. To authenticate using OAuth, you can use the embedded OAuthClientId, OAuthClientSecret, and CallbackURL or you can obtain your own by registering an app with Intuit. Additionally, if you want to connect to sandbox data, set UseSandbox to true.

See the Getting Started chapter of 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.

You can then choose the QuickBooks Online entities you want to allow the API Server access to by clicking Settings -> Resources.

Authorize API Server Users

After determining the OData services you want to produce, authorize users by clicking Settings -> Users. The API Server uses authtoken-based authentication and supports the major authentication schemes. Access can also be restricted based on IP address; by default only connections to the local machine are allowed. You can authenticate as well as encrypt connections with SSL.

Create Data Visualizations on External QuickBooks Online Data

  1. Open Spotfire and click Add Data Tables -> OData.
  2. In the OData Connection dialog, enter the following information:
    • Service URL: Enter the API Server's OData endpoint. For example: http://localhost:8032/api.rsc
    • Authentication Method: Select Username and Password.
    • Username: Enter the username of an API Server user. You can create API users on the Security tab of the administration console.
    • Password: Enter the authtoken of an API Server user.
  3. Select the tables and columns you want to add to the dashboard. This example uses Customers.
  4. 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.

  5. 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 Balance in the Numbers section and DisplayName 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.

Ready to get started?

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CData API Server