Connect to and Query eBay Analytics Data in QlikView over ODBC

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eBay Analytics ODBC Driver

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

Access eBay Analytics data like you would a database, including eBay Analytics Traffic, Customers, Sellers, etc. through a standard ODBC Driver interface.



Create data visualizations with eBay Analytics 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 eBay Analytics data using the CData ODBC driver and create data visualizations in QlikView.

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

Connect to eBay 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.

You can authenticate to eBay Analytics only via the OAuth 2 authentication method. The eBay Analytics API requires an access token created with the authorization code grant flow to authorize the requests.

You can follow the guide in the Help documentation for a step by step guide on how to authenticate using the OAuth 2 protocol.

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 eBay Analytics 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 ListingName, ClickThroughRate FROM TrafficReportByListing WHERE ListingId = '201284405428'
  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 EbayAnalytics Sys) in the resulting dialog. A command like the following is generated: ODBC CONNECT TO [CData EbayAnalytics 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 ListingName, ClickThroughRate FROM TrafficReportByListing WHERE ListingId = '201284405428';

    Where possible, the SQL operations in the query, like filters and aggregations, will be pushed down to eBay Analytics, 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 eBay Analytics, typed appropriately for QlikView, thanks to built-in dynamic metadata querying.
  7. When defining Dimensions, select ListingName in the First Dimension menu.
  8. When defining Expressions, click the summary function you want and select ClickThroughRate in the menu.
  9. Finish the wizard to generate the chart. The CData ODBC Driver for eBay Analytics connects to live eBay Analytics 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.