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Connect to YouTube Analytics Data in HULFT Integrate

Connect to YouTube Analytics as a JDBC data source in HULFT Integrate

HULFT Integrate is a modern data integration platform that provides a drag-and-drop user interface to create cooperation flows, data conversion, and processing so that complex data connections are easier than ever to execute. When paired with the CData JDBC Driver for YouTube Analytics, HULFT Integrate can work with live YouTube Analytics data. This article walks through connecting to YouTube Analytics and moving the data into a CSV file.

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.

Enable Access to YouTube Analytics

To enable access to YouTube Analytics data from HULFT Integrate projects:

  1. Copy the CData JDBC Driver JAR file (and license file if it exists), cdata.jdbc.youtubeanalytics.jar (and cdata.jdbc.youtubeanalytics.lic), to the jdbc_adapter subfolder for the Integrate Server
  2. Restart the HULFT Integrate Server and launch HULFT Integrate Studio

Build a Project with Access to YouTube Analytics Data

Once you copy the JAR files, you can create a project with access to YouTube Analytics data. Start by opening Integrate Studio and creating a new project.

  1. Name the project
  2. Ensure the "Create script" checkbox is checked
  3. Click Next
  4. Name the script (e.g.: YouTubeAnalyticstoCSV)

Once you create the project, add components to the script to copy YouTube Analytics data to a CSV file.

Configure an Execute Select SQL Component

Drag an "Execute Select SQL" component from the Tool Palette (Database -> JDBC) into the Script workspace.

  1. In the "Required settings" tab for the Destination, click "Add" to create a new connection for YouTube Analytics. Set the following properties:
    • Name: YouTube Analytics Connection Settings
    • Driver class name: cdata.jdbc.youtubeanalytics.YouTubeAnalyticsDriver
    • URL: jdbc:youtubeanalytics:ContentOwnerId=MyContentOwnerId;ChannelId=MyChannelId;InitiateOAuth=GETANDREFRESH

      Built-in Connection String Designer

      For assistance 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.

  2. Write your SQL statement. For example:
    SELECT Snippet_Title, ContentDetails_ItemCount FROM Groups
  3. Click "Extraction test" to ensure the connection and query are configured properly
  4. Click "Execute SQL statement and set output schema"
  5. Click "Finish"

Configure a Write CSV File Component

Drag a "Write CSV File" component from the Tool Palette (File -> CSV) onto the workspace.

  1. Set a file to write the query results to (e.g. Groups.csv)
  2. Set "Input data" to the "Select SQL" component
  3. Add columns for each field selected in the SQL query
  4. In the "Write settings" tab, check the checkbox to "Insert column names into first row"
  5. Click "Finish"

Map YouTube Analytics Fields to the CSV Columns

Map each column from the "Select" component to the corresponding column for the "CSV" component.

Finish the Script

Drag the "Start" component onto the "Select" component and the "CSV" component onto the "End" component. Build the script and run the script to move YouTube Analytics data into a CSV file.

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