Model, Search, and Visualize Live YouTube Analytics Data in ThoughtSpot

ThoughtSpot is a cloud-based analytics platform that uses artificial intelligence (AI) and natural language processing (NLP) to help users analyze data and make decisions. When paired with CData Connect Cloud, you get instant, cloud-to-cloud access to YouTube Analytics data for visualizations, dashboards, and more. This article shows how to connect to YouTube Analytics and build visualizations from YouTube Analytics data in ThoughtSpot.

CData Connect Cloud provides a pure SQL Server, cloud-to-cloud interface for YouTube Analytics, allowing you to easily build models and visualizations from live YouTube Analytics data in ThoughtSpot. As you build visualizations, ThoughtSpot generates SQL queries to gather data. Using optimized data processing out of the box, CData Connect Cloud pushes all supported SQL operations (filters, JOINs, etc) directly to YouTube Analytics, leveraging server-side processing to quickly return YouTube Analytics data.

Configure YouTube Analytics Connectivity for ThoughtSpot

Connectivity to YouTube Analytics from ThoughtSpot is made possible through CData Connect Cloud. To work with YouTube Analytics data from ThoughtSpot, we start by creating and configuring a YouTube Analytics connection.

1. Log into Connect Cloud, click Connections and click Add Connection
2. Select "YouTube Analytics" from the Add Connection panel
3. YouTube Analytics uses OAuth to authenticate. Click "Sign in" to authenticate with YouTube Analytics.
4. Navigate to the Permissions tab in the Add YouTube Analytics Connection page and update the User-based permissions.

Add a Personal Access Token

If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.

1. Click on your username at the top right of the Connect Cloud app and click User Profile.
2. On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
3. Give your PAT a name and click Create.
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured, you are ready to connect to YouTube Analytics data from ThoughtSpot.

Model, Search, and Visualize Live YouTube Analytics Data in ThoughtSpot

To establish a connection from ThoughtSpot to the CData Connect Cloud Virtual SQL Server API, follow these steps.

1. Log into ThoughtSpot
2. On the top navigation bar, click Data.
3. Click Create new > Connection.
4. Name the connection and click "SQL Server" as the data warehouse.
5. Click Continue on the top right.
6. Enter the connection settings:
   • Host: enter the Virtual SQL Server endpoint: tds.cdata.com
   • Port: : enter 14333
   • Username: enter your CData Connect Cloud username. This is displayed in the top-right corner of the CData Connect Cloud interface. For example, [email protected].
   • Password: enter the PAT you generated on the Settings page.
   • Database: enter the Connection Name of the CData Connect Cloud data source you want to connect to (for example, YouTubeAnalytics1).
7. Click Continue.
8. After connecting successfully, you will be able to choose which tables to include.
9. Click Create Connection.

After you successfully configure your connection, you can build models, search, and visualize your YouTube Analytics data.

Real-Time Access to YouTube Analytics Data from Cloud Applications

At this point, you have a direct, cloud-to-cloud connection to live YouTube Analytics data from ThoughtSpot. You can model, search, and visualize your data from ThoughtSpot . For more information on gaining live access to data from more than 100 SaaS, Big Data, and NoSQL sources from cloud applications like ThoughtSpot, refer to our Connect Cloud page.