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

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

Connect to and Visualize Google Cloud Storage Data using MicroStrategy Desktop

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

     Authenticate with a User Account

     You can connect without setting any connection properties for your user credentials. After setting InitiateOAuth to GETANDREFRESH, you are ready to connect.

     When you connect, the Google Cloud Storage OAuth endpoint opens in your default browser. Log in and grant permissions, then the OAuth process completes

     Authenticate with a Service Account

     Service accounts have silent authentication, without user authentication in the browser. You can also use a service account to delegate enterprise-wide access scopes.

     You need to create an OAuth application in this flow. See the Help documentation for more information. After setting the following connection properties, you are ready to connect:

     • InitiateOAuth: Set this to GETANDREFRESH.
     • OAuthJWTCertType: Set this to "PFXFILE".
     • OAuthJWTCert: Set this to the path to the .p12 file you generated.
     • OAuthJWTCertPassword: Set this to the password of the .p12 file.
     • OAuthJWTCertSubject: Set this to "*" to pick the first certificate in the certificate store.
     • OAuthJWTIssuer: In the service accounts section, click Manage Service Accounts and set this field to the email address displayed in the service account Id field.
     • OAuthJWTSubject: Set this to your enterprise Id if your subject type is set to "enterprise" or your app user Id if your subject type is set to "user".
     • ProjectId: Set this to the Id of the project you want to connect to.

     The OAuth flow for a service account then completes.

     Built-in Connection String Designer

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

     java -jar cdata.jdbc.googlecloudstorage.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.googlecloudstorage.GoogleCloudStorageDriver;URL={jdbc:googlecloudstorage:ProjectId='project1';InitiateOAuth=GETANDREFRESH;};
   

   👁 Creating a new data source for Google Cloud Storage.
   
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 Google Cloud Storage 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 Google Cloud Storage, 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 Google Cloud Storage data.
    
13. Once you are finished configuring the dossier, click File -> Save.

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