Use the CData JDBC Driver for SQL Analysis Services 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 SQL Analysis Services, you gain database-like access to live SQL Analysis Services data from MicroStrategy, expanding your reporting and analytics capabilities. In this article, we walk through adding SQL Analysis Services as a data source in MicroStrategy Desktop and creating a simple visualization of SQL Analysis Services data.

The CData JDBC Driver offers unmatched performance for interacting with live SQL Analysis Services data in MicroStrategy due to optimized data processing built into the driver. When you issue complex SQL queries from MicroStrategy to SQL Analysis Services, the driver pushes supported SQL operations, like filters and aggregations, directly to SQL Analysis Services 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 SQL Analysis Services data.

Connect to and Visualize SQL Analysis Services Data using MicroStrategy Desktop

In addition to connecting to SQL Analysis Services in MicroStrategy enterprise products, you can connect to SQL Analysis Services in MicroStrategy Desktop. Follow the steps below to add SQL Analysis Services data as a dataset using JDBC and create visualizations and reports of SQL Analysis Services 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 SQL Analysis Services\lib\ on Windows.)
   • Set DRIVER to cdata.jdbc.ssas.SSASDriver, the driver class.
   • Set URL to the JDBC URL for the SQL Analysis Services driver, setting the necessary connection properties.

     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.

     Built-in Connection String Designer

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

     java -jar cdata.jdbc.ssas.jar
     

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

     👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)
     

     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.ssas.SSASDriver;URL={jdbc:ssas:User=myuseraccount;Password=mypassword;URL=http://localhost/OLAP/msmdpump.dll;};
   

   👁 Creating a new data source for SQL Analysis Services.
   
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. 👁 Select tables to import.
    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 SQL Analysis Services 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 SQL Analysis Services, 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. 👁 Visualize SQL Analysis Services data.
    
13. Once you are finished configuring the dossier, click File -> Save.

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