Visualize YouTube Analytics Data in Sisense



Create an ElastiCube in Sisense app with access to YouTube Analytics data.

Sisense lets you join, analyze, and picture data to make more intelligent business decisions and craft effective strategies. The CData JDBC Driver for YouTube Analytics makes it easy to integrate with YouTube Analytics data in Sisense. This article shows how to create an ElastiCube that connects to YouTube Analytics data and use the ElastiCube to visualize YouTube Analytics data in Sisense.

Configure the Connection to YouTube Analytics

Before creating the ElastiCube, note the installation location for the JAR file for the JDBC Driver (typically C:\Program Files\CData\CData JDBC Driver for YouTube Analytics 20XX\lib) or copy the jar file (cdata.jdbc.youtubeanalytics.YouTubeAnalytics.jar) to a new folder in the Sisense JDBC driver directory (typically C:\ProgramData\Sisense\DataConnectors\jdbcdrivers).

  1. In the Data page of the Sisense application, create a new ElastiCube (or open an existing one).
  2. In the Model Editor, click "+ Data" to open the Add Data dialog box.
  3. Click Generic JDBC to open the JDBC settings.
  4. Set the connection string property to the JDBC URL for YouTube Analytics, adding required properties.

    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.

    When you configure the JDBC URL, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

    A typical example follows:

    jdbc:youtubeanalytics:ContentOwnerId=MyContentOwnerId;ChannelId=MyChannelId;InitiateOAuth=REFRESH
  5. Set the JDBC JARs folder property to the location of the CData JDBC Driver JAR file (see above).
  6. Set the driver's class name to the class name for the JDBC Driver: cdata.jdbc.youtubeanalytics.YouTubeAnalyticsDriver
  7. Leave the username and password properties blank.
  8. Click Next.

Add YouTube Analytics Data to an ElastiCube

Once you are connected to YouTube Analytics, you can add tables and views to your ElastiCubes.

  1. From the Tables list, select the tables and/or views you wish to work with.
  2. (Optional) Click "+" to customize the data you want to import with SQL.
  3. Click Done.
  4. Click Build to build the ElastiCube for analytics.

Visualize YouTube Analytics Data

With YouTube Analytics tables added to your ElastiCube, you can perform analytics on your YouTube Analytics data.

  1. Navigate to the Analytics page of the Sisense application
  2. Select a Dashboard (or create a new one)
  3. Select your Data Source and click Create
  4. Click "+ Select Data" and choose fields to add to your visualization.

With the CData JDBC Driver for YouTube Analytics, you can access YouTube Analytics data right in Sisense for powerful visualization and analytics. Download a free, 30-day trial and start working with YouTube Analytics data in Sisense today!

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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.