Use the CData ODBC Driver for Strava in MicroStrategy Desktop

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

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

Connect to Strava as an ODBC Data Source

Information for connecting to Strava follows, along with different instructions for configuring a DSN in Windows and Linux environments.

To authenticate to Strava, and connect to your own data or to allow other users to connect to their data, you can use the OAuth standard.

Using OAuth Authentication

You must create a custom OAuth application to connect to Strava. To create a custom OAuth application:

1. Log into the Strava API Settings page
2. Create a new application or select an existing application
3. Set the "Authorization Callback Domain" to your callback URL domain (e.g. localhost)
4. Note down the Client ID and Client Secret

After setting the following connection properties, you are ready to connect:

• AuthScheme: Set this to OAuth.
• InitiateOAuth: Set this to GETANDREFRESH. You can use InitiateOAuth to manage the process to obtain the OAuthAccessToken.
• OAuthClientId: Set this to the Client ID from your Strava API application.
• OAuthClientSecret: Set this to the Client Secret from your Strava API application.
• CallbackURL: Set this to the redirect URI matching your application's callback domain.

Example connection string:

Profile=C:\profiles\Strava.apip;AuthScheme=OAuth;InitiateOAuth=GETANDREFRESH;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackURL=http://localhost:33333;

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.

Windows

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.

Linux

If you are installing the CData ODBC Driver for Strava in a Linux environment, the driver installation predefines a system DSN. You can modify the DSN by editing the system data sources file (/etc/odbc.ini) and defining the required connection properties.

/etc/odbc.ini

[CData API Sys]
Driver = CData ODBC Driver for Strava
Description = My Description
Profile = C:\profiles\Strava.apip
AuthScheme = OAuth
InitiateOAuth = GETANDREFRESH
OAuthClientId = your_client_id
OAuthClientSecret = your_client_secret
CallbackURL = http://localhost:33333

For specific information on using these configuration files, please refer to the help documentation (installed and found online).

Connect to and Visualize Strava Data using MicroStrategy Desktop

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

1. Open MicroStrategy Desktop and create a new dossier.
2. In the datasets panel, click New Data, select Databases, and select Type a Query as the Import Option.
3. Add a new data source and choose DSN data sources.
4. Choose the DSN you previously configured (likely CData API Sys) and select Generic DBMS in the Version menu.
5. Set the User and Password properties for the DSN (or use placeholder values) and name the data source.
👁 Creating a new data source for Strava.

6. Select the new database instance to view the tables. You may need to manually click the search icon in the Available Tables section to see the tables.
7. Create a SQL query for the Strava data (see below) and click Execute SQL to test the query.

   SELECT * FROM Athlete
   

   👁 Querying Strava for data.
   NOTE: Since we create a live connection, we can execute a SELECT * query and utilize the filtering and aggregation features native to the MicroStrategy products.
8. Click Finish and choose to connect live.
9. Choose a visualization, choose fields to display (data types are discovered automatically through dynamic metadata discovery) and apply any filters to create a new visualization of Strava data. Where possible, the complex queries generated by the filters and aggregations will be pushed down to Strava, 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 Strava data.
   
10. Once you are finished configuring the dossier, click File -> Save.

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