Create an YouTube Analytics Data Source for Denodo Platform

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YouTube Analytics JDBC Driver

YouTube Analytics のTraffic、Sources、Demographics、Subscribers などのデータをJava/J2EE アプリケーションから手軽に連携。



Use the CData JDBC Driver for YouTube Analytics to create a virtual data source for YouTube Analytics data in the Denodo Virtual DataPort Administrator.

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 walks through creating 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 an 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.
  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

      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 への接続には、OAuth 認証標準を使います。ユーザーアカウントまたはサービスアカウントで認証できます。組織全体のアクセススコープを本製品に許可するには、サービスアカウントが必要です。下記で説明するとおり、本製品はこれらの認証フローをサポートします。

      ユーザー資格情報の接続プロパティを設定せずに接続できます。次を設定して、接続してください。ChannelId:YouTube チャンネルのId に設定。指定しない場合、認証されたユーザーのチャンネルのデータが返されます。ContentOwnerId:コンテンツ所有者のレポートを生成する場合に設定。接続すると、本製品はデフォルトブラウザでOAuth エンドポイントを開きます。ログインして、アプリケーションにアクセス許可を与えます。本製品がOAuth プロセスを完了します。

      他のOAuth 認証フローについては、ヘルプドキュメントの「OAuth 認証の使用」を参照してください。

  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.
  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')
    
  7. Click Execute to view 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.