Analyze YouTube Analytics Data in SAP Analytics Cloud

SAP Analytics Cloud is a cloud-based business intelligence platform. The CData Connect Server creates a virtual database for YouTube Analytics and can be used to generate an OData API (natively consumable in Analytics Cloud) for YouTube Analytics. By pairing SAP Analytics Cloud with the CData Connect Server, you get direct connectivity to all of your SaaS and cloud-based Big Data and NoSQL sources — no need to migrate your data or write your integrations. Simply connect to Connect Server as you would any other OData service and get instant, consolidated access to all of your data.

In this article, we walk through connecting to YouTube Analytics in Connect Server and connecting to Connect Server from Analytics Cloud to create a model and build a simple dashboard.

Configure Connect Server to Connect to YouTube Analytics

To connect to YouTube Analytics data from SAP Analytics Cloud, you need to configure YouTube Analytics access from your Connect Server instance. This means creating a user, connecting to YouTube Analytics, adding OData endpoints, and (optionally) configuring CORS.

Add a Connect Server User

Create a User to connect to YouTube Analytics from Analytics Cloud through Connect Server.

1. Click Users -> Add
2. Configure a User
3. Click Save Changes and make note of the Authtoken for the new user

Connect to YouTube Analytics from Connect Server

CData Connect Server uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

1. Open Connect Server and click Connections
2. Select "YouTube Analytics" from Available Data Sources
3. Enter the necessary authentication properties to connect to YouTube Analytics.

   YouTube Analytics uses the OAuth authentication standard. You can use the embedded CData OAuth credentials or you can register an application with Google to obtain your own.

   In addition to the OAuth values, to access YouTube Analytics data set ChannelId to the Id of a YouTube channel. You can obtain the channel Id in the advanced account settings for your channel. If not specified, the channel of the currently authenticated user will be used.

   If you want to generate content owner reports, specify the ContentOwnerId property. This is the Id of the copyright holder for content in YouTube's rights management system. The content owner is the person or organization that claims videos and sets their monetization policy.

4. Click Save Changes
5. Click Privileges -> Add, and add the new user (or an existing user) with the appropriate permissions (SELECT is all that is required for Reveal)

Add YouTube Analytics OData Endpoints in Connect Server

After connecting to YouTube Analytics, create OData Endpoint for the desired table(s).

1. Click OData -> Tables -> Add Tables
2. Select the YouTube Analytics database
3. Select the table(s) you wish to work with and click Next
4. (Optional) Edit the resource to select specific fields and more
5. Save the settings

(Optional) Configure Cross-Origin Resource Sharing (CORS)

When accessing and connecting to multiple different domains from an application such as Ajax, there is a possibility of violating the limitations of cross-site scripting. In that case, configure the CORS settings in OData -> Settings.

• Enable cross-origin resource sharing (CORS): ON
• Allow all domains without '*': ON
• Access-Control-Allow-Methods: GET, PUT, POST, OPTIONS
• Access-Control-Allow-Headers: Authorization

Save the changes to the settings.

Create a Model of YouTube Analytics Data in SAP Analytics Cloud

With the connection to YouTube Analytics configured and the OData endpoint(s) created, we can create a Model for YouTube Analytics data in SAP Analytics Cloud.

1. Log into your Analytics Cloud instance and click Create -> Model from the menu.
2. Choose "Get data from a datasource" and select "OData Services"
3. Choose an existing connection to your Connect Server OData or Create a new one:
   • Set "Connection Name"
   • Set "Data Service URL" to the Base URL for your OData API (typically: CONNECT_SERVER_URL/api.rsc)
   • Set "Authentication Type" to Basic Authentication
   • Set "User Name" to the Connect Server user you configured earlier
   • Set "Password" to the Authtoken for the above user
4. Choose "Create a new query" and click Next
5. Name the Query, select an OData endpoint (like youtubeanalyticsdb_Groups) and click Next
6. Drag the columns you wish to work with into the Selected Data workspace and click Create
7. At this point, a Draft Data source is created; click the draft to finalize the model
8. Perform any transformations, including creating calculated dimensions, location dimensions, and combining data sources, then click Create Model
9. Name your model and click OK

Build a Dashboard in SAP Analytics Cloud

With the model created, you are ready to create a dashboard in SAP Analytics Cloud based on YouTube Analytics data.

1. From the menu, click Create -> Story
2. Click an SAP Analytics Template (this article uses the "Dashboard" template)
3. Choose a layout and click Apply
4. From the More menu, select a visualization to insert (Chart)
5. Select a model to visualize
6. Select a structure and the required Measures and Dimensions
7. Save the story

More Information & Free Trial

Now, you have created a simple but powerful dashboard from live YouTube Analytics data. For more information on creating OData feeds from YouTube Analytics (and more than 200 other data sources), visit the Connect Server page. Sign up for a free trial and start working with live YouTube Analytics data in SAP Analytics Cloud.