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Create Datasets from YouTube Analytics in Domo Workbench and Build Visualizations of YouTube Analytics Data in Domo

Use the CData ODBC Driver for YouTube Analytics to create datasets from YouTube Analytics data in Domo Workbench and then build visualizations in the Domo service.

Domo helps you manage, analyze, and share data across your entire organization, enabling decision makers to identify and act on strategic opportunities. Domo Workbench provides a secure, client-side solution for uploading your on-premise data to Domo. The CData ODBC Driver for YouTube Analytics links Domo Workbench to operational YouTube Analytics data. You can build datasets from YouTube Analytics data using standard SQL queries in Workbench and then create real-time visualizations of YouTube Analytics data in the Domo service.

The CData ODBC Drivers offer unmatched performance for interacting with live YouTube Analytics data in Domo due to optimized data processing built into the driver. When you issue complex SQL queries from Domo 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 (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can visualize and analyze YouTube Analytics data using native Domo data types.

Connect to YouTube Analytics as an ODBC Data Source

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

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.

When you configure the DSN, 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.

After creating a DSN, you will need to create a dataset for YouTube Analytics in Domo Workbench using the YouTube Analytics DSN and build a visualization in the Domo service based on the dataset.

Build a Dataset for YouTube Analytics Data

You can follow the steps below to build a dataset based on a table in YouTube Analytics in Domo Workbench using the CData ODBC Driver for YouTube Analytics.

  1. Open Domo Workbench and, if you have not already, add your Domo service server to Workbench. In the Accounts submenu, click Add New, type in the server address (i.e., domain.domo.com) and click through the wizard to authenticate.
  2. In the DataSet Jobs submenu, click Add New.
  3. Name the dataset job (i.e., ODBC YouTube Analytics Groups), select ODBC Connection Provider as the transport method, and click through the wizard.
  4. In the newly created DataSet Job, navigate to Source and click to configure the settings.
  5. Select System DSN for the Connection Type.
  6. Select the previously configured DSN (CData YouTubeAnalytics Sys) for the System DSN.
  7. Click to validate the configuration.
  8. Below the settings, set the Query to a SQL query: SELECT * FROM Groups NOTE: By connecting to YouTube Analytics data using an ODBC driver, you simply need to know SQL in order to get your data, circumventing the need to know YouTube Analytics-specific APIs or protocols.
  9. Click preview.
  10. Check over the generated schema, add any transformations, then save and run the dataset job.

With the dataset job run, the dataset will be accessible from the Domo service, allowing you to build visualizations, reports, and more based on YouTube Analytics data.

Create Data Visualizations

With the DataSet Job saved and run in Domo Workbench, we are ready to build visualizations of the YouTube Analytics data in the Domo service.

  1. Navigate to the Data Center.
  2. In the data warehouse, select the ODBC data source and drill down to our new dataset.
  3. With the dataset selected, choose to create a visualization.
  4. In the new card:
    • Drag a Dimension to the X Value.
    • Drag a Measure to the Y Value.
    • Choose a Visualization.

With the CData ODBC Driver for YouTube Analytics, you can build custom datasets based on YouTube Analytics data using only SQL in Domo Workbench and then build and share visualizations and reports through the Domo service.