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Visualize Snowflake Data in TIBCO Spotfire through OData
Integrate Snowflake 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 Snowflake, provides Snowflake 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 Snowflake data in real time.
About Snowflake Data Integration
CData simplifies access and integration of live Snowflake data. Our customers leverage CData connectivity to:
- Reads and write Snowflake data quickly and efficiently.
- Dynamically obtain metadata for the specified Warehouse, Database, and Schema.
- Authenticate in a variety of ways, including OAuth, OKTA, Azure AD, Azure Managed Service Identity, PingFederate, private key, and more.
Many CData users use CData solutions to access Snowflake from their preferred tools and applications, and replicate data from their disparate systems into Snowflake for comprehensive warehousing and analytics.
For more information on integrating Snowflake with CData solutions, refer to our blog: https://www.cdata.com/blog/snowflake-integrations.
Getting Started
Set Up the API Server
Follow the steps below to begin producing secure Snowflake 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 Snowflake
After you deploy the API Server and the ADO.NET Provider for Snowflake, provide authentication values and other connection properties needed to connect to Snowflake by clicking Settings -> Connections and adding a new connection in the API Server administration console.
To connect to Snowflake:
- Set User and Password to your Snowflake credentials and set the AuthScheme property to PASSWORD or OKTA.
- Set URL to the URL of the Snowflake instance (i.e.: https://myaccount.snowflakecomputing.com).
- Set Warehouse to the Snowflake warehouse.
- (Optional) Set Account to your Snowflake account if your URL does not conform to the format above.
- (Optional) Set Database and Schema to restrict the tables and views exposed.
See the Getting Started guide in the CData driver documentation for more information.
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 Snowflake 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 Snowflake Data
- Open Spotfire and click Add Data Tables -> OData.
- 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.
- Service URL: Enter the API Server's OData endpoint. For example:
- Select the tables and columns you want to add to the dashboard. This example uses Products.
- 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.
- 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 ProductName 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 apply a filter: After clicking the Filter button, the available filters for each query are displayed in the Filters pane.
