Visualize SQL Analysis Services Data in TIBCO Spotfire through ADO.NET

TIBCO Spotfire is a data visualization and business intelligence software developed by TIBCO Software Inc. It allows users to connect, visualize, and share insights from various data sources in real-time. Spotfire provides interactive dashboards, data analytics, and predictive analytics capabilities, enabling users to explore data, uncover trends, and make data-driven decisions. It is commonly used in businesses and organizations to analyze large datasets, gain valuable insights, and improve decision-making processes. Learn more at https://www.tibco.com/analytics.

In this article, we will guide you through the process of utilizing the CData ADO.NET Provider for SQL Analysis Services within TIBCO Spotfire. You will learn how to establish a connection and build a basic 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=myuseraccount;Password=mypassword;URL=http://localhost/OLAP/msmdpump.dll;

   To connect, provide authentication and set the Url property to a valid SQL Server Analysis Services endpoint. You can connect to SQL Server Analysis Services instances hosted over HTTP with XMLA access. See the Microsoft documentation to configure HTTP access to SQL Server Analysis Services.

   To secure connections and authenticate, set the corresponding connection properties, below. The data provider supports the major authentication schemes, including HTTP and Windows, as well as SSL/TLS.

   • HTTP Authentication

     Set AuthScheme to "Basic" or "Digest" and set User and Password. Specify other authentication values in CustomHeaders.

   • Windows (NTLM)

     Set the Windows User and Password and set AuthScheme to "NTLM".

   • Kerberos and Kerberos Delegation

     To authenticate with Kerberos, set AuthScheme to NEGOTIATE. To use Kerberos delegation, set AuthScheme to KERBEROSDELEGATION. If needed, provide the User, Password, and KerberosSPN. By default, the data provider attempts to communicate with the SPN at the specified Url.

   • SSL/TLS:

     By default, the data provider attempts to negotiate SSL/TLS by checking the server's certificate against the system's trusted certificate store. To specify another certificate, see the SSLServerCert property for the available formats.

   You can then access any cube as a relational table: When you connect the data provider retrieves SSAS metadata and dynamically updates the table schemas. Instead of retrieving metadata every connection, you can set the CacheLocation property to automatically cache to a simple file-based store.

   See the Getting Started section of the CData documentation, under Retrieving Analysis Services Data, to execute SQL-92 queries to the cubes.

   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.

   👁 Connection properties in the Configure Data Source Connection dialog. (Salesforce is shown.)
   
5. Select the tables that you want to add to the dashboard. This example uses Adventure_Works. You can also specify an SQL query. The driver supports the standard SQL syntax. 👁 Tables and columns selected in the tree or specified by an SQL query. (Salesforce is shown.)
   
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 Sales_Amount in the Numbers section and Fiscal_Year in the Categories section.👁 Recommended visualizations for the imported data table. (Salesforce is shown.)
   

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.