Use the CData JDBC Driver for SAS Data Sets in MicroStrategy Desktop

MicroStrategy is an analytics and mobility platform that enables data-driven innovation. When you pair MicroStrategy with the CData JDBC Driver for SAS Data Sets, you gain database-like access to live SAS Data Sets data from MicroStrategy, expanding your reporting and analytics capabilities. In this article, we walk through adding SAS Data Sets as a data source in MicroStrategy Desktop and creating a simple visualization of SAS Data Sets data.

The CData JDBC Driver offers unmatched performance for interacting with live SAS Data Sets data in MicroStrategy due to optimized data processing built into the driver. When you issue complex SQL queries from MicroStrategy 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 use native MicroStrategy data types to visualize and analyze SAS Data Sets data.

Connect to and Visualize SAS Data Sets Data using MicroStrategy Desktop

In addition to connecting to SAS Data Sets in MicroStrategy enterprise products, you can connect to SAS Data Sets in MicroStrategy Desktop. Follow the steps below to add SAS Data Sets data as a dataset using JDBC and create visualizations and reports of SAS Data Sets data.

1. Open MicroStrategy Desktop and create a new dossier.
2. In the datasets panel, click New Data, select Databases, and choose Select a Table as the Import Option.
3. Add a new data source and choose the DSN-less data sources option.
4. Choose Generic in the Database menu and Generic DBMS in the Version menu.
5. Click the link to show the connection string and opt to edit the connection string. In the Driver menu, select MicroStrategy Cassandra ODBC Driver. (MicroStrategy requires a certified driver to interface through JDBC; the actual driver will not be used.)
6. Set the connection string as follows and click OK:
   • Add the JDBC keyword to the connection string.
   • Set MSTR_JDBC_JAR_FOLDER to the path of the JAR file for the JDBC driver. (C:\Program Files\CData JDBC Driver for SAS Data Sets\lib\ on Windows.)
   • Set DRIVER to cdata.jdbc.sasdatasets.SASDataSetsDriver, the driver class.
   • Set URL to the JDBC URL for the SAS Data Sets driver, setting the necessary connection properties.

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

     Connecting to Local Files

     • Set the Connection Type to "Local." Local files support SELECT, INSERT, and DELETE commands.
     • Set the URI to a folder containing SAS files, e.g. C:\PATH\TO\FOLDER\.

     Connecting to Cloud-Hosted SAS DataSet Files

     While the driver is capable of pulling data from SAS DataSet files hosted on a variety of cloud data stores, INSERT, UPDATE, and DELETE are not supported outside of local files in this driver.

     Set the Connection Type to the service hosting your SAS DataSet files. A unique prefix at the beginning of the URI connection property is used to identify the cloud data store and the remainder of the path is a relative path to the desired folder (one table per file) or single file (a single table). For more information, refer to the Getting Started section of the Help documentation.

     Built-in Connection String Designer

     For assistance in constructing the JDBC URL, use the connection string designer built into the SAS Data Sets JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

     java -jar cdata.jdbc.sasdatasets.jar

     Fill in the connection properties and copy the connection string to the clipboard.

     When you configure the JDBC URL, 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.

   A typical connection string follows:

   JDBC;MSTR_JDBC_JAR_FOLDER=PATH\TO\JAR\;DRIVER=cdata.jdbc.sasdatasets.SASDataSetsDriver;URL={jdbc:sasdatasets:URI=C:/myfolder;};
7. Right-click on the new data source, and choose Edit catalog options.
8. Edit the SQL Statement to SELECT * FROM SYS_SCHEMAS to read the metadata from the JDBC Driver.
9. Select the new data source to view the available tables. You may need to manually click the search icon in the Available Tables section to see the tables.
10. Drag tables into the pane to import them. Note: Since we create a live connection, we can import whole tables and utilize the filtering and aggregation features native to the MicroStrategy products.
11. Click Finish and choose the option to connect Live. Live connections are possible and effective, thanks to the high-performance data processing native to CData JDBC Drivers.
12. Choose a visualization, choose fields to display, and apply any filters to create a new visualization of SAS Data Sets data. Data types are discovered automatically through dynamic metadata discovery. Where possible, the complex queries generated by the 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.
13. Once you are finished configuring the dossier, click File -> Save.

Using the CData JDBC Driver for SAS Data Sets in MicroStrategy Desktop, you can easily create robust visualizations and reports on SAS Data Sets data. Read our other articles for connecting to SAS Data Sets data in MicroStrategy Developer and connecting to SAS Data Sets data in MicroStrategy Web for more examples.