Use the CData ODBC Driver for SQL Analysis Services in SAS JMP

You can use the CData ODBC Driver for SQL Analysis Services to integrate live data into your statistical analysis with SAS JMP. The driver proxies your queries directly to the SQL Analysis Services API, ensuring that your analysis reflects any changes to the data. The CData ODBC Driver supports the standard SQL used by JMP in the background as you design reports.

This article shows how to access SQL Analysis Services data into a report and create data visualization. It also shows how to use SQL to query SQL Analysis Services data from the JMP Query Builder.

Access SQL Analysis Services Data 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.

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.

Import SQL Analysis Services Data with the Query Builder

After you have created the SQL Analysis Services DSN, you can use SQL to invoke the capabilities of the SQL Analysis Services API. Follow the steps below to execute some supported queries in the Query Builder:

1. In SAS JMP, click File -> Database -> Query Builder. The Select Database Connection dialog is displayed.
2. Click New Connection.
3. On the Machine Data Source tab, select the DSN. In the next step, the Select Tables for Query dialog is displayed.
4. In the Available Tables section, select a table and click Primary.
5. As you drag Available Columns to the Included Columns tab, the underlying SQL query is updated.
6. Click Run Query to display the data.
7. To refresh the results with the current data, right-click Update from Database and click Run Script.

Visualize SQL Analysis Services Data

After importing, you can use the Graph Builder to create graphs visually. To open the Graph Builder, click the Graph Builder button in the toolbar.

1. Drag a dimension column onto the x axis. For example, Fiscal_Year.
2. Drag a measure column onto the y axis. For example, Sales_Amount.
3. Select a chart type. For example, a bar chart.