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URL: https://www.cdata.com/kb/tech/youtubeanalytics-cloud-metabase.rst

⇱ How to integrate Metabase with YouTube Analytics Data


How to integrate Metabase with YouTube Analytics Data

πŸ‘ Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use CData Connect AI to connect to live YouTube Analytics data and create an interactive dashboard in Metabase from YouTube Analytics data.

Metabase is an open source data visualization tool that allows users to create interactive dashboards. When paired with CData Connect AI, users can easily create visualizations and dashboards linked to live YouTube Analytics data. This article describes how to connect to YouTube Analytics and build a simple visualization using YouTube Analytics data.

CData Connect provides a pure cloud-to-cloud interface for YouTube Analytics, allowing you to easily integrate with live YouTube Analytics data in Metabase β€” without replicating the data. Connect looks exactly like a SQL Server database to Metabase and uses optimized data processing out of the box to push 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 Metabase

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

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. πŸ‘ Adding a Connection
  3. Select "YouTube Analytics" from the Add Connection panel
  4. πŸ‘ Selecting a data source
  5. YouTube Analytics uses OAuth to authenticate. Click "Sign in" to authenticate with YouTube Analytics. πŸ‘ Authenticating with OAuth (Salesforce is shown).
  6. Navigate to the Permissions tab in the Add YouTube Analytics Connection page and update the User-based permissions. πŸ‘ Updating permissions

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

  1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
  2. On the Settings page, go to the Access Tokens section and click Create PAT.
  3. Give the PAT a name and click Create. πŸ‘ Creating a new PAT
  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 and a PAT generated, you are ready to connect to YouTube Analytics data from Metabase.

Connect to CData Connect AI from Metabase

After creating the connection in Connect AI, navigate to your Metabase instance. Use the SQL Server interface to connect to Connect AI.

  1. Navigate to the administration screen (Settings -> Admin) and click "Add Database" from the "Databases" tab πŸ‘ Adding a new database connection to Metabase.
  2. Configure the connection to Connect AI and click "Save"
    • Database type: Select "SQL Server"
    • Name: Name the connection (e.g. "YouTube Analytics (Connect AI)")
    • Host: tds.cdata.com
    • Port: 14333
    • Database name: The name of the connection you just created (e.g. YouTubeAnalytics1)
    • Username: A Connect AI username (e.g. [email protected])
    • Password: The PAT previously created
    • Click to Use a secure connection (SSL)
    πŸ‘ Configuring the connection to Connect AI.

Execute YouTube Analytics Data with Metabase

Once you configure the connection to Connect AI, you can query YouTube Analytics and build visualizations.

  1. Use the "Write SQL" tool to retrieve the YouTube Analytics data πŸ‘ Click the 'Write SQL' button.
  2. Write a SQL query based on the YouTube Analytics connection in CData Connect AI, e.g.

    SELECT Snippet_Title, ContentDetails_ItemCount FROM Groups
    πŸ‘ Collected data (Salesforce is shown).
  3. Navigate to the "Visualization" screen, choose a visualization, and configure the visualization πŸ‘ Collected data (Salesforce is shown).

More Information & Free Trial

At this point, you have built a simple visualization from YouTube Analytics data in Metabase. You can continue to work with live YouTube Analytics data in Metabase just like you would any SQL Server database. For more information on creating a live connection to YouTube Analytics (and more than 100 other data sources), visit the Connect AI page. Sign up for a free trial and start working with live YouTube Analytics data in Metabase today.