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The CData ODBC drivers expand your ability to work with data from hundreds of 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 Confluence data using the CData ODBC driver and create data visualizations in QlikView.
The CData ODBC drivers offer unmatched performance for interacting with live Confluence data in QlikView due to optimized data processing built into the driver. When you issue complex SQL queries from QlikView to Confluence, the driver pushes supported SQL operations, like filters and aggregations, directly to Confluence 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 Confluence data using native QlikView data types.
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.
An API token is necessary for account authentication. To generate one, login to your Atlassian account and navigate to API tokens > Create API token. The generated token will be displayed.
To connect to a Cloud account, provide the following (Note: Password has been deprecated for connecting to a Cloud Account and is now used only to connect to a Server Instance.):
To connect to a Server instance, provide the following:
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.
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 Key, Name FROM Pages WHERE Id = '10000'
ODBC CONNECT TO [CData Confluence Sys];
SQL SELECT Key, Name FROM Pages WHERE Id = '10000';
Where possible, the SQL operations in the query, like filters and aggregations, will be pushed down to Confluence, 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.
๐ A script that connects and executes an SQL query. (Salesforce is shown.)Finish the wizard to generate the chart. The CData ODBC Driver for Confluence connects to live Confluence 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.
๐ A chart populated with the results of a query. (Salesforce is shown.)Download a free trial of the Confluence ODBC Driver to get started:
Download NowLearn more:
๐ Confluence IconThe Confluence ODBC Driver is a powerful tool that allows you to connect with live data from Confluence, directly from any applications that support ODBC connectivity.
Access Confluence data like you would a database - read, write, and update Confluence Attachments, Comments, Groups, Users, etc. through a standard ODBC Driver interface.