Connect to YouTube Analytics Data in the Denodo Platform

Denodo Platform is a data virtualization product providing a single point of contact for enterprise database data. When paired with the CData JDBC Driver for YouTube Analytics, Denodo users can work with live YouTube Analytics data alongside other enterprise data sources. This article explains how to create a virtual data source for YouTube Analytics in the Denodo Virtual DataPort Administrator.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live YouTube Analytics data. When you issue complex SQL queries to YouTube Analytics, the driver pushes supported SQL operations, like filters and aggregations, directly to YouTube Analytics and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze YouTube Analytics data using native data types.

Create the YouTube Analytics Virtual Port

To connect to live YouTube Analytics data from Denodo, you need to copy the JDBC Driver JAR file to the external library directory for Denodo and create a new JDBC Data Source from the Virtual DataPort Administrator tool.

1. Download the CData JDBC Driver for YouTube Analytics installer, unzip the package, and run the JAR file to install the driver.
2. Copy the JAR File (and license file if it exists) from the installation location (typically C:\Program Files\CData\CData JDBC Driver for YouTube Analytics\lib\) to the Denodo external library directory (C:\Denodo\Denodo Platform\lib-external\jdbc-drivers\cdata-youtubeanalytics-19).
3. Open the Denodo Virtual DataPort Administrator tool and navigate to the Server Explorer tab.
4. Right-click "admin" and select New -> Data source -> JDBC. 👁 Creating a new JDBC data source.
   
5. Configure the JDBC Connection:
   • Name: your choice, e.g.: youtubeanalytics
   • Database adapter: Generic
   • Driver class path: C:\Denodo\Denodo Platform\lib-external\jdbc-drivers\cdata-youtubeanalytics-19
   • Driver class: cdata.jdbc.youtubeanalytics.YouTubeAnalyticsDriver

   • Database URI: Set this to a JDBC URL using the necessary connection properties. For example,

     jdbc:youtubeanalytics:ContentOwnerId=MyContentOwnerId;ChannelId=MyChannelId;InitiateOAuth=GETANDREFRESH;

     👁 Configuring the JDBC connection (NetSuite is shown).
     

     Information on creating the Database URI follows:

     Built-In Connection String Designer

     For assistance in constructing the JDBC URL, use the connection string designer built into the YouTube Analytics JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

     	java -jar cdata.jdbc.youtubeanalytics.jar
     	

     Fill in the connection properties and copy the connection string to the clipboard.

     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.

     👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)
     
6. Click the "Test connection" button to confirm the configuration and click Save.

View YouTube Analytics Data in the VirtualPort Administrator Tool

After creating the data source, you can create a base view of YouTube Analytics data for use in the Denodo Platform.

1. Click the "Create base view" button in the newly created VirtualPort (admin.YouTubeAnalytics).
2. Expand the object tree and select the objects (tables) you wish to import. 👁 Selecting objects to import (NetSuite is shown).
   
3. Click the "Create selected" button to create views of the YouTube Analytics data.
   Optional: Click "Create associations from foreign keys" to define relationships between the objects.
4. With the view(s) created, navigate to a table (cdata_youtubeanalytics_groups) in the Server Explorer and double-click the selected table.
5. In the new tab, click "Execution panel" to open a query panel.
6. Customize the query in the "Execute" tab or use the default:

   SELECT * FROM cdata_youtubeanalytics_groups CONTEXT ('i18n'='us_est', 'cache_wait_for_load'='true')
   

   👁 Configuring the query to view the data.
   
7. Click Execute to view the data. 👁 Viewing the data.
   

With the base view created, you can now work with live YouTube Analytics data like you would any other data source in Denodo Platform, for example, querying YouTube Analytics in the Denodo Data Catalog.

Download a free, 30-day trial of the CData JDBC Driver for YouTube Analytics and start working with your live YouTube Analytics data in Denodo Platform. Reach out to our Support Team if you have any questions.