Connect to and Query Facebook Ads Data in QlikView over ODBC

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Facebook Ads ODBC Driver

The Facebook Ads ODBC Driver is a powerful tool that allows you to connect with live data from Facebook Ads, directly from any applications that support ODBC connectivity.

Access Facebook Ads data like you would a database - read, write, and update Facebook Ads Comments, Groups, Pages, Insights, etc. through a standard ODBC Driver interface.



Create data visualizations with Facebook Ads data in QlikView.

The CData ODBC drivers expand your ability to work with data from more than 200 data sources. QlikView is a business discovery platform that provides self-service BI for all business users in an organization. This article outlines simple steps to connect to Facebook Ads data using the CData ODBC driver and create data visualizations in QlikView.

The CData ODBC drivers offer unmatched performance for interacting with live Facebook Ads data in QlikView due to optimized data processing built into the driver. When you issue complex SQL queries from QlikView to Facebook Ads, the driver pushes supported SQL operations, like filters and aggregations, directly to Facebook Ads 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 Facebook Ads data using native QlikView data types.

Connect to Facebook Ads 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.

Most tables require user authentication as well as application authentication. Facebook uses the OAuth authentication standard. To authenticate to Facebook, you can use the embedded OAuthClientId, OAuthClientSecret, and CallbackURL or you can obtain your own by registering an app with Facebook.

See the Getting Started chapter of the help documentation for a guide to using OAuth.

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.

Populate a Chart with Facebook Ads Data

The steps below supply the results of an SQL query to a visualization in QlikView. In this article, you will create a bar chart with the query below:

SELECT AccountId, Name FROM AdAccounts WHERE Name = 'Acct Name'
  1. Click File -> Edit Script (or click the Edit Script button in the Toolbar).
  2. On the Data tab, select ODBC in the Database menu and click Connect.
  3. Select the DSN (CData FacebookAds Sys) in the resulting dialog. A command like the following is generated: ODBC CONNECT TO [CData FacebookAds Sys];
  4. Enter the SQL query directly into the script with the SQL command (or click Select to build the query in the SELECT statement wizard). SQL SELECT AccountId, Name FROM AdAccounts WHERE Name = 'Acct Name';

    Where possible, the SQL operations in the query, like filters and aggregations, will be pushed down to Facebook Ads, while any unsupported operations (which can include SQL functions and JOIN operations) will be managed client-side by the CData SQL engine embedded in the driver.

  5. Close the script editor and reload the document to execute the script.
  6. Click Tools -> Quick Chart Wizard. In the wizard, select the chart type. This example uses a bar chart. When building the chart, you have access to the fields from Facebook Ads, typed appropriately for QlikView, thanks to built-in dynamic metadata querying.
  7. When defining Dimensions, select AccountId in the First Dimension menu.
  8. When defining Expressions, click the summary function you want and select Name in the menu.
  9. Finish the wizard to generate the chart. The CData ODBC Driver for Facebook Ads connects to live Facebook Ads data, so the chart can be refreshed to see real-time changes. Live connections are possible and effective, thanks to the high-performance data processing native to CData ODBC Drivers.