Create Informatica Mappings From/To a JDBC Data Source for YouTube Analytics

Informatica provides a powerful, elegant means of transporting and transforming your data. By utilizing the CData JDBC Driver for YouTube Analytics, you are gaining access to a driver based on industry-proven standards that integrates seamlessly with Informatica's powerful data transportation and manipulation features. This tutorial shows how to transfer and browse YouTube Analytics data in Informatica PowerCenter.

Deploy the Driver

To deploy the driver to the Informatica PowerCenter server, copy the CData JAR and .lic file, located in the lib subfolder in the installation directory, to the following folder: Informatica-installation-directory\services\shared\jars\thirdparty.

To work with YouTube Analytics data in the Developer tool, you will need to copy the CData JAR and .lic file, located in the lib subfolder in the installation directory, into the following folders:

• Informatica-installation-directory\client\externaljdbcjars
• Informatica-installation-directory\externaljdbcjars

Create the JDBC Connection

Follow the steps below to connect from Informatica Developer:

1. In the Connection Explorer pane, right-click your domain and click Create a Connection.
2. In the New Database Connection wizard that is displayed, enter a name and Id for the connection and in the Type menu select JDBC.
3. In the JDBC Driver Class Name property, enter:

   cdata.jdbc.youtubeanalytics.YouTubeAnalyticsDriver

4. In the Connection String property, enter the JDBC URL, using the connection properties for 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.

   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.

   👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)
   

   A typical connection string is below:

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

Browse YouTube Analytics Tables

After you have added the driver JAR to the classpath and created a JDBC connection, you can now access YouTube Analytics entities in Informatica. Follow the steps below to connect to YouTube Analytics and browse YouTube Analytics tables:

1. Connect to your repository.
2. In the Connection Explorer, right-click the connection and click Connect.
3. Clear the Show Default Schema Only option. 👁 The driver models YouTube Analytics entities as relational tables. (Salesforce is shown.)
   

You can now browse YouTube Analytics tables in the Data Viewer: Right-click the node for the table and then click Open. On the Data Viewer view, click Run.

Create YouTube Analytics Data Objects

Follow the steps below to add YouTube Analytics tables to your project:

1. Select tables in YouTube Analytics, then right-click a table in YouTube Analytics, and click Add to Project.
2. In the resulting dialog, select the option to create a data object for each resource.
3. In the Select Location dialog, select your project.

   Create a Mapping

   Follow the steps below to add the YouTube Analytics source to a mapping:

   1. In the Object Explorer, right-click your project and then click New -> Mapping.
   2. Expand the node for the YouTube Analytics connection and then drag the data object for the table onto the editor.
   3. In the dialog that appears, select the Read option.
   👁 The source YouTube Analytics table in the mapping. (Salesforce is shown.)
   

   Follow the steps below to map YouTube Analytics columns to a flat file:

   1. In the Object Explorer, right-click your project and then click New -> Data Object.
   2. Select Flat File Data Object -> Create as Empty -> Fixed Width.
   3. In the properties for the YouTube Analytics object, select the rows you want, right-click, and then click copy. Paste the rows into the flat file properties.
   4. Drag the flat file data object onto the mapping. In the dialog that appears, select the Write option.
   5. Click and drag to connect columns.

   To transfer YouTube Analytics data, right-click in the workspace and then click Run Mapping.

   👁 The completed mapping. (Salesforce is shown.)