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Use the CData JDBC Driver for Snowflake in MicroStrategy Desktop

Connect to Snowflake data in MicroStrategy Desktop using the CData JDBC Driver for Snowflake.

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

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

Connect to and Visualize Snowflake Data using MicroStrategy Desktop

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

      To connect to Snowflake:

      1. Set User and Password to your Snowflake credentials and set the AuthScheme property to PASSWORD or OKTA.
      2. Set URL to the URL of the Snowflake instance (i.e.: https://myaccount.snowflakecomputing.com).
      3. Set Warehouse to the Snowflake warehouse.
      4. (Optional) Set Account to your Snowflake account if your URL does not conform to the format above.
      5. (Optional) Set Database and Schema to restrict the tables and views exposed.

      See the Getting Started guide in the CData driver documentation for more information.

      Built-in Connection String Designer

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

      java -jar cdata.jdbc.snowflake.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.snowflake.SnowflakeDriver;URL={jdbc:snowflake:User=Admin;Password=test123;Server=localhost;Database=Northwind;Warehouse=TestWarehouse;Account=Tester1;};
  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 Snowflake 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 Snowflake, 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 Snowflake in MicroStrategy Desktop, you can easily create robust visualizations and reports on Snowflake data. Read our other articles for connecting to Snowflake data in MicroStrategy Developer and connecting to Snowflake data in MicroStrategy Web for more examples.