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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 HubDB data using the CData ODBC driver and create data visualizations in QlikView.
The CData ODBC drivers offer unmatched performance for interacting with live HubDB data in QlikView due to optimized data processing built into the driver. When you issue complex SQL queries from QlikView to HubDB, the driver pushes supported SQL operations, like filters and aggregations, directly to HubDB 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 HubDB 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.
There are two authentication methods available for connecting to HubDB data source: OAuth Authentication with a public HubSpot application and authentication with a Private application token.
AuthScheme must be set to "OAuth" in all OAuth flows. Be sure to review the Help documentation for the required connection properties for you specific authentication needs (desktop applications, web applications, and headless machines).
Follow the steps below to register an application and obtain the OAuth client credentials:
Under Scopes, select any scopes you need for your application's intended functionality.
A minimum of the following scopes is required to access tables:
To connect using a HubSpot private application token, set the AuthScheme property to "PrivateApp."
You can generate a private application token by following the steps below:
To connect, set PrivateAppToken to the private application token you retrieved.
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 PartitionKey, Name FROM NorthwindProducts WHERE Id = '1'
ODBC CONNECT TO [CData HubDB Sys];
SQL SELECT PartitionKey, Name FROM NorthwindProducts WHERE Id = '1';
Where possible, the SQL operations in the query, like filters and aggregations, will be pushed down to HubDB, 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 HubDB connects to live HubDB 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 HubDB ODBC Driver to get started:
Download NowLearn more:
๐ HubDB IconThe HubDB ODBC Driver is a powerful tool that allows you to connect with live data from HubDB, directly from any applications that support ODBC connectivity.
Access HubDB data like you would a database - read, write, and update HubDB 0, etc. through a standard ODBC Driver interface.