Connect to YouTube Analytics Data in DBeaver

The CData ODBC Driver for YouTube Analytics enables access to live data from YouTube Analytics under the ODBC standard, allowing you work with YouTube Analytics data in a wide variety of BI, reporting, and ETL tools and directly, using familiar SQL queries. This article shows how to manage YouTube Analytics data with visual tools in DBeaver like the query browser.

The CData ODBC drivers offer unmatched performance for interacting with live YouTube Analytics data in DBeaver due to optimized data processing built into the driver. When you issue complex SQL queries from DBeaver 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 manage and analyze YouTube Analytics data.

Connect to YouTube Analytics

If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can configure the DSN using the Microsoft ODBC Data Source Administrator. This is also the last step of the driver installation. See the "Getting Started" chapter in the Help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.

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.

Finally, set the "Map To WVarchar connection property to False in the DSN Configuration window for the driver. This configuration will allow string types to be mapped to SQL_VARCHAR and prevent SQL_WVARCHAR types from being displayed as NULL.

Connecting to the YouTube Analytics ODBC Data Source in DBeaver

1. Open the DBeaver application and in the Database menu, select the New Database Connection option.
2. In the 'Connect to a database' window, select ODBC and click Next.
3. In the Database/Schema field, enter the DSN name (CData YouTube Analytics Source by default). It will be automatically added to the JDBC URL as well.
4. Click the Test Connection button. You should receive a 'Connected' message after DBeaver has detected the DSN, along with details about the driver if the connection is successful.

Query YouTube Analytics Data

You can now query information from the tables exposed by the data source connection. You can expand the database structure in order to view all the tables. You can retrieve the table's data by right-clicking on a table name and selecting View data. The data will then be available in the Data tab.

Free Trial & More Information

At this point, you have connected to live YouTube Analytics data from DBeaver. For more information, visit the CData ODBC Driver page. Download a free, 30-day trial and start working live YouTube Analytics data DBeaver today.