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YouTube Analytics Icon YouTube Analytics JDBC Driver

Easy-to-use YouTube Analytics client enables Java-based applications to easily consume YouTube Analytics Traffic, Sources, Demographics, Subscribers, etc.

Integrate YouTube Analytics Data in Your Informatica Cloud Instance



Use CData JDBC drivers with the Informatica Cloud Secure Agent to access live YouTube Analytics data from Informatica Cloud.

Informatica Cloud allows you to perform extract, transform, and load (ETL) tasks in the cloud. With the Cloud Secure Agent and the CData JDBC Driver for YouTube Analytics, you get live access to YouTube Analytics data, directly within Informatica Cloud. In this article, we will walk through downloading and registering the Cloud Secure Agent, connecting to YouTube Analytics through the JDBC Driver and generating a mapping that can be used in any Informatica Cloud process.

Informatica Cloud Secure Agent

To work with the YouTube Analytics data through the JDBC Driver, install the Cloud Secure Agent.

  1. Navigate to the Administrator page in Informatica Cloud
  2. Select the Runtime Environments tab
  3. Click "Download Secure Agent"
  4. Make note of the Install Token
  5. Run the installer on the client machine and register the Cloud Secure Agent with your username and install token

NOTE: It may take some time for all of the Cloud Secure Agent services to get up and running.

Connecting to the YouTube Analytics JDBC Driver

With the Cloud Secure Agent installed and running, you are ready to connect to YouTube Analytics through the JDBC Driver. Start by clicking the Connections tab and clicking New Connection. Fill in the following properties for the connection:

  • Connection Name: Name your connection (i.e.: CData YouTube Analytics Connection)
  • Type: Select "JDBC_IC (Informatica Cloud)"
  • Runtime Environment: Select the runtime environment where you installed the Cloud Secure Agent
  • JDBC Connection URL: Set this to the JDBC URL for YouTube Analytics. Your URL will look similar to the following:

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

    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.

  • JDBC Jar Directory: Set this to the lib folder in the installation location for the JDBC Driver (on Windows, typically C:\Program Files\CData[product_name]\)
  • Driver Class: Set this to cdata.jdbc.youtubeanalytics.YouTubeAnalyticsDriver
  • Username: Set this to a placeholder value (since YouTube Analytics does not require a username)
  • Password: Set this to a placeholder value (since YouTube Analytics does not require a password)

Create a Mapping for YouTube Analytics Data

With the connection to YouTube Analytics configured, we can now access YouTube Analytics data in any Informatica process. The steps below walk through creating a mapping for YouTube Analytics to another data target.

  1. Navigate to the Data Integration page
  2. Click New.. and select Mapping from the Mappings tab
  3. Click the Source Object and in the Source tab, select the Connection and set the Source Type
  4. Click "Select" to choose the table to map
  5. In the Fields tab, select the fields from the YouTube Analytics table to map
  6. Click the Target object and configure the Target source, table and fields. In the Field Mapping tab, map the source fields to the target fields.

With the mapping configured, you are ready to start integrating live YouTube Analytics data with any of the supported connections in Informatica Cloud. Download a free, 30-day trial of the CData JDBC Driver for YouTube Analytics and start working with your live YouTube Analytics data in Informatica Cloud today.