Connect to and Query SAS Data Sets Data in QlikView over ODBC

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SAS Data Sets ODBC Driver

The SAS Data Sets ODBC Driver is a powerful tool that allows you to connect with live data from SAS Data Sets, directly from any applications that support ODBC connectivity.

Access SAS Data Sets data like you would a database - read, write, and update through a standard ODBC Driver interface.



Create data visualizations with SAS Data Sets data in QlikView.

The CData ODBC drivers expand your ability to work with data from more than 200 data sources. QlikView is a business discovery platform that provides self-service BI for all business users in an organization. This article outlines simple steps to connect to SAS Data Sets data using the CData ODBC driver and create data visualizations in QlikView.

The CData ODBC drivers offer unmatched performance for interacting with live SAS Data Sets data in QlikView due to optimized data processing built into the driver. When you issue complex SQL queries from QlikView to SAS Data Sets, the driver pushes supported SQL operations, like filters and aggregations, directly to SAS Data Sets and utilizes the embedded SQL engine to process unsupported operations (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can visualize and analyze SAS Data Sets data using native QlikView data types.

Connect to SAS Data Sets 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.

Set the following connection properties to connect to your SAS DataSets files:

  • URI: Set this to the folder containing your .sas7bdat resources. Currently we only support local files.

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.

Populate a Chart with SAS Data Sets Data

The steps below supply the results of an SQL query to a visualization in QlikView. In this article, you will create a bar chart with the query below:

SELECT name, borough FROM restaurants WHERE cuisine = 'American'
  1. Click File -> Edit Script (or click the Edit Script button in the Toolbar).
  2. On the Data tab, select ODBC in the Database menu and click Connect.
  3. Select the DSN (CData SASDataSets Sys) in the resulting dialog. A command like the following is generated: ODBC CONNECT TO [CData SASDataSets Sys];
  4. Enter the SQL query directly into the script with the SQL command (or click Select to build the query in the SELECT statement wizard). SQL SELECT name, borough FROM restaurants WHERE cuisine = 'American';

    Where possible, the SQL operations in the query, like filters and aggregations, will be pushed down to SAS Data Sets, while any unsupported operations (which can include SQL functions and JOIN operations) will be managed client-side by the CData SQL engine embedded in the driver.

  5. Close the script editor and reload the document to execute the script.
  6. Click Tools -> Quick Chart Wizard. In the wizard, select the chart type. This example uses a bar chart. When building the chart, you have access to the fields from SAS Data Sets, typed appropriately for QlikView, thanks to built-in dynamic metadata querying.
  7. When defining Dimensions, select name in the First Dimension menu.
  8. When defining Expressions, click the summary function you want and select borough in the menu.
  9. Finish the wizard to generate the chart. The CData ODBC Driver for SAS Data Sets connects to live SAS Data Sets data, so the chart can be refreshed to see real-time changes. Live connections are possible and effective, thanks to the high-performance data processing native to CData ODBC Drivers.