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SQL Server Analysis Services Icon SQL Analysis Services ODBC Driver

The SQL Analysis Services ODBC Driver is a powerful tool that allows you to connect with live data from SQL Analysis Services, directly from any applications that support ODBC connectivity.

Access Analysis Services report data like you would a database, through a standard ODBC Driver interface. Supports Direct Query and MDX query capabilities.

Import SQL Analysis Services Data into FileMaker Pro



Create reports that integrate SQL Analysis Services data in Filemaker Pro.

One of the strengths of the CData ODBC driver is its ubiquitous support across many applications and platforms. In this article, you will configure the ODBC driver in FileMaker Pro and create data visualizations with SQL Analysis Services data.

Query SQL Analysis Services Data in FileMaker Pro

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. See the "Getting Started" chapter of the help documentation for a guide to creating a DSN on Windows or Unix-based systems like Mac OS X and Linux.

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.

You can then load SQL Analysis Services data into tables in Filemaker Pro:

  1. In your solution, click File -> Import Records -> ODBC Data Source, and select the CData SQL Analysis Services DSN.
  2. In the resulting SQL Query Builder wizard, select tables and columns and then click Insert into SQL Query. You can edit this query directly. For example:

    SELECT Fiscal_Year, Sales_Amount FROM Adventure_Works

    You can use the UI to build filters in the WHERE clause by clicking the WHERE tab.

  3. In the resulting Import Field Mapping wizard, you can define mappings from columns in the data source to the columns in a destination table. To create a new table for the query results, select New Table ("CData SSAS Source") from the Target box, and click Import.

For more information on the SQL that the driver supports out of the box, see the help documentation.

Process Data at Design Time

You can sort and aggregate data, as well as calculate summary functions, while you browse tables. To manipulate the view of data at design time, first complete the two steps below:

  1. Switch to Browse mode: Click the Mode pop-up menu in the footer of the application.
  2. Switch to Table view: Click the table icon in the View As menu in the main toolbar of the application.

Aggregate and Summarize

Follow the procedure below to group column values and then display a summary, as shown in the screenshot below:

  1. Sort: Click the arrow in the Fiscal_Year column header and then click Sort Ascending in the resulting menu.
  2. Group: In the menu for the Fiscal_Year column click Add Trailing Group by Fiscal_Year to group the values and create a subsequent row where summary calculations can be inserted. Click Add Leading Group to introduce the group with a summary.
  3. Summarize: In the menu for a column that has been grouped, select a summary from the Trailing Subtotals menu.

the procedure below to create a simple bar chart that shows the total Sales_Amount for each Fiscal_Year.

  1. Click the arrow in the Sales_Amount column header and click "Chart by Sales_Amount" in the menu. If you have already grouped on a column in the Table view, Fiscal_Year, for example, you can select the option to chart Sales_Amount by Fiscal_Year.
  2. In the Chart Setup window, select columns to draw the chart: To add the column for the x-axis, click the button next to the Data box.

Selecting the x-axis and y-axis will draw the chart. You can also process data in the Chart Setup: Set the following options to create a basic chart.

  1. Click the button next to the Data box and select Specify Field Value. Select a column in the resulting dialog.
  2. Select a summary for the y-axis in the Summary menu.