Build Dashboards with YouTube Analytics Data in DBxtra

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 connect to YouTube Analytics data as a generic ODBC Data Provider and create charts, reports, and dashboards based on YouTube Analytics data in DBxtra.

Connect to YouTube Analytics Data

1. 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 built-in 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.

   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.

2. Open the DBxtra application and in the New menu click Project and name the Project. 👁 Creating a New Project.
   
3. Select ODBC Connection as the Data Connection Type. 👁 Creating an ODBC Connection.
   
4. Click the browse option () for the Data Source.
5. In the Data Link Properties window, select Microsoft OLE DB Provider for ODBC Drivers on the Provider tab. 👁 Select the Provider
   
6. On the Connection tab, select the Data Source Name and the initial catalog to use (CData). 👁 Select the Provider
   
7. Name the Connection and select the appropriate User Groups. 👁 Connection name and User Groups
   
8. Double-click the Connection from within the Project to connect to the data. 👁 Connecting to the data.
   

Create a Dashboard with YouTube Analytics Data

You are now ready to create a dashboard with YouTube Analytics data.

1. Right-click Report Objects under the Project and select New Report Object. 👁 Creating a Report Object for the Project
   
2. In the new Report Object, click the link to create the Query.
3. In the Select Data Connection window, select the newly created data connection. 👁 Select Data Connection
   
4. On the Query tab, expand the connection objects and select the Tables, Views, and specific columns you wish to include in your dashboard. You can specify search requirements and even create complex queries which include JOINs and aggregations. 👁 Selecting the data/building the query.
   
5. On the Dashboard tab, select the visualizations and features for your dashboard. Assign the data values from the query to the appropriate fields for the Dashboards items (Values, Series, etc.) 👁 Building the Dashboard.
   

With a new Dashboard created, you are ready to begin analysis of YouTube Analytics data. Thanks to the ODBC Driver for YouTube Analytics, you can refresh the Dashboard and immediately see any changes made at the source. In the same way, you can create and view Reports with live, up-to-date YouTube Analytics data.