Ready to get started?

Learn more about the CData ODBC Driver for YouTube Analytics or download a free trial:

Download Now

CData ODBC Driver for YouTube Analytics を使って、SAS からリアルタイムレポートや分析を実施。

CData ODBC Driver for YouTube Analytics を使って、SAS からYouTube Analytics data データを連携利用。

SAS は、高度なアナリティクス、BI、データ管理、予測分析のためのソフトウェアです。SAS とCData ODBC Driver for YouTube Analytics を合わせて使うことで、SAS からリアルタイムYouTube Analytics data へのアクセスが可能になります。本記事では、SAS でYouTube Analytics のライブラリを作成し、データベースのようにデータを扱い、レポートを作成します。

The CData ODBC Driver offers unmatched performance for interacting with live YouTube Analytics data in SAS due to optimized data processing built into the driver. When you issue complex SQL queries from SAS 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 easily visualize and analyze YouTube Analytics data in SAS.

Connect to YouTube Analytics as an ODBC Data Source

Information for connecting to YouTube Analytics follows, along with different instructions for configuring a DSN in Windows and Linux environments (the ODBC Driver for YouTube Analytics must be installed on the machine hosting the SAS System).

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.

Windows

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.

Linux

If you are installing the CData ODBC Driver for YouTube Analytics in a Linux environment, the driver installation predefines a system DSN. You can modify the DSN by editing the system data sources file (/etc/odbc.ini) and defining the required connection properties.

/etc/odbc.ini

[CData YouTubeAnalytics Sys] Driver = CData ODBC Driver for YouTube Analytics Description = My Description ContentOwnerId = MyContentOwnerId ChannelId = MyChannelId

For specific information on using these configuration files, please refer to the help documentation (installed and found online).

Create a YouTube Analytics Library in SAS

Connect to YouTube Analytics in SAS by adding a library based on the CData ODBC Driver for YouTube Analytics.

  1. Open SAS and expand Libraries in the Explorer pane.
  2. In the Active Libraries window, right-click and select New.
  3. Name your library (odbclib), select ODBC as the Engine, and click to Enable at startup (if you want the library to persist between sessions).
  4. Set Data Source to the DSN you previously configured and click OK.

Create a View from a YouTube Analytics Query

SAS natively supports querying data either using a low-code, point-and-click Query tool or programmatically with PROC SQL and a custom SQL query. When you create a View in SAS, the defining query is executed each time the view is queried. This means that you always query live YouTube Analytics data for reports, charts, and analytics.

Using the Query Tool

  1. In SAS, click Tools -> Query
  2. Select the table sources and the table(s) you wish to pull data from. Then, click OK.
  3. Select columns and right-click to add filtering, ordering, grouping, etc.
  4. Create a local view to contain the query results by right-clicking the SQL Query Tool window, selecting Show Query, and clicking Create View. Name the View and click OK.

Using PROC SQL

  1. In SAS, navigate to the Editor window.
  2. Use PROC SQL to query the data and create a local view.
    NOTE: This procedure creates a view in the Work library. You can optionally specify a library in the create view statement.
    proc sql;
      create view groups_view as
      select 
        snippet_title, 
        contentdetails_itemcount 
      from 
        odbclib.groups 
      where 
        Mine = 'True';
    quit;
    
  3. Click Run -> Submit to execute the query and create a local view.

Report On or Visualize YouTube Analytics Data in SAS

With a local view created, you can report, visualize, or otherwise analyze YouTube Analytics data using the powerful SAS features. Print a simple report using PROC PRINT and create a basic graph based on the data using PROC GCHART.

Print an HTML Report

  1. In SAS, navigate to the Editor window.
  2. Use PROC PRINT to print an HTML report for the YouTube Analytics Groups data.
    proc print data=groups;
      title "YouTube Analytics Groups Data";
    run;
    

Print a Chart

  1. In SAS, navigate to the Editor window.
  2. Use PROC GCHART to create a chart for the Groups data.
    proc gchart data=groups;
      pie snippet_title / sumvar=contentdetails_itemcount
          value=arrow
          percent=arrow
          noheading
          percent=inside plabel=(height=12pt)
          slice=inside value=none
          name='GroupsChart';
    run;
    
 
 
ダウンロード