Build an OLAP Cube in SSAS from Spotify Data

SQL Server Analysis Services (SSAS) serves as an analytical data engine employed in decision support and business analytics, offering high-level semantic data models for business reports and client applications like Power BI, Excel, Reporting Services reports, and various data visualization tools. When coupled with the CData API Driver for ADO.NET, you gain the capability to generate cubes from Spotify data, facilitating more profound and efficient data analysis.

In this article, we will guide you through the process of developing and deploying a multi-dimensional model of Spotify data by creating an Analysis Services project in Visual Studio. To proceed, ensure that you have an accessible SSAS instance and have installed the ADO.NET Provider.

Creating a Data Source for Spotify

Start by creating a new Analysis Service Multidimensional and Data Mining Project in Visual Studio. Next, create a Data Source for Spotify data in the project.

1. In the Solution Explorer, right-click Data Source and select New Data Source.
2. Opt to create a data source based on an existing or new connection and click New.
3. In the Connection Manager, select CData API Driver for ADO.NET, enter the necessary connection properties, and click Next.

   Using OAuth Authentication

   Spotify uses OAuth 2.0 for authentication. You will need to create an application in the Spotify Developer Dashboard to obtain your client credentials.

   Setting Up Your Spotify Application

   1. Visit the Spotify Developer Dashboard.
   2. Log in with your Spotify account and click Create app.
   3. Provide an app name, description, and set a Redirect URI (e.g.,

      http://localhost:33333

      for desktop applications).
   4. Copy your Client ID and Client Secret from the app settings.

   Connection Properties

   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 your Spotify application's Client ID.
   • OAuthClientSecret: Set this to your Spotify application's Client Secret.
   • Scope: Set this to the required OAuth scopes (space-separated). The default includes all read scopes needed for the tables in this profile.
   • CallbackURL: Set this to the Redirect URI configured in your Spotify application (e.g., http://localhost:33333).

   Example Connection String

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

   Available OAuth Scopes

   • user-read-private: Read access to user's subscription details and explicit content settings.
   • user-read-email: Read access to user's email address.
   • user-library-read: Read access to a user's saved tracks, albums, episodes, shows, and audiobooks.
   • playlist-read-private: Read access to user's private playlists.
   • playlist-read-collaborative: Read access to collaborative playlists the user follows.
   • user-follow-read: Read access to the list of artists the current user follows.
   • user-read-playback-state: Read access to a user's player state (device, current track, progress).
   • user-read-currently-playing: Read access to a user's currently playing content.
   • user-read-playback-history: Read access to a user's recently played tracks.
   • user-top-read: Read access to a user's top artists and tracks.

   When you configure the connection, 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.

   
4. Set the impersonation method to Inherit and click Next.
5. Name the data source (CData Spotify Source) and click Finish.

Creating a Data Source View

After you create the data source, create the data source view.

1. In the Solution Explorer, right-click Data Source Views and select New Data Source View.
2. Select the data source you just created (CData Spotify Source) and click Next.
3. Choose a foreign key match pattern that matches your underlying data source and click Next.
4. Select Spotify tables to add to the view and click Next.
5. Name the view and click Finish

Based on the foreign key match scheme, relationships in the underlying data will be automatically detected. You can view (and edit) these relationships by double clicking Data Source View.

Note that adding a secondary data source to the Data Source View is not supported. When working with multiple data sources, SSAS requires both sources to support remote queries via OpenRowset which is unavailable in the ADO.NET Provider.

Creating a Cube for Spotify

The last step before you can process the project and deploy Spotify data to SSAS is creating the cubes.

1. In the Solution Explorer, right-click Cubes and select New Cube
2. Select "Use existing tables" and click Next.
3. Select the tables that will be used for measure group tables and click Next.
4. Select the measures you want to include in the cube and click Next.
5. Select the dimensions to be created, based on the available tables, and click Next.
6. Review all of your selections and click Finish.

Process the Project

With the data source, data source view, and cube created, you are ready to deploy the cube to SSAS. To configure the target server and database, right-click the project and select properties. Navigate to deployment and configure the Server and Database properties in the Target section.

After configuring the target server and database, right-click the project and select Process. You may need to build and deploy the project as a part of this step. Once the project is built and deployed, click Run in the Process Database wizard.

Now you have an OLAP cube for Spotify data in your SSAS instance, ready to be analyzed, reported, and viewed. Get started with a free, 30-day trial of the CData API Driver for ADO.NET.