Build Dashboards with SQL Analysis Services Data in Dundas BI

The CData ODBC Driver for SQL Analysis Services enables access to live data from SQL Analysis Services under the ODBC standard, allowing you work with SQL Analysis Services data in a wide variety of BI, reporting, and ETL tools and directly, using familiar SQL queries. This article shows how to connect to SQL Analysis Services data as a generic ODBC Data Provider and create charts, reports, and dashboards based on SQL Analysis Services data in Dundas BI.

Connect to SQL Analysis Services Data

1. If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can configure the DSN using the built-in Microsoft ODBC Data Source Administrator. This is also the last step of the driver installation. See the "Getting Started" chapter in the Help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.
   
   

   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 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.

2. Open the Dundas BI interface, open the menu, and click New Data Connector.
3. Configure the Dundas BI Data Connector:
   • Name the Data Connector.
   • Select "ODBC generic" as the Data Provider.
   • Check the "Use System DSN" checkbox.
   • Select the appropriate System DSN.

Add SQL Analysis Services Data to a Dashboard

You are now ready to create a dashboard with SQL Analysis Services data.

1. Navigate to the Home page.
2. Click Explore Data.
3. Expand the appropriate Data Connector.
4. Drag the relevant data from the Connector to the panel.
   • You can select an entire "table" to add, but you may need to remove Measures/Rows from the Metric Set to build an appropriate visualization. Alternatively, you can select only the fields you wish to include in the visualization.
   • With the fields selected, you can add any filters or conditions on the Measures and Rows, further customizing the visualization.
5. Click Re-visualize from the menu bar and select the appropriate visualization for the data.
6. Click Add To New Dashboard to add the visualization to a new dashboard.
7. Configure the dashboard, creating dynamic visualizations of SQL Analysis Services data.