Data preparation in the hub

We have now added the ability to create Qlik scripts directly from the hub, using a new and improved script editor. Users can now build and deploy Qlik scripts upstream of analytics apps, which can be executed and result in output files in formats such as QVD and PARQUET. These files can be stored in the hub and used for analytics and AutoML applications.

The script editor also now includes a data preview feature, allowing users to get better insight when developing scripts. This provides our customers with an improved workflow for preparing data, while setting the stage for future enhancements to analytics data prep capabilities

Loading and transforming data with scripting: Using script editor

OAuth: Limiting access by scopes

Customers are now able to set the access control for Qlik Cloud OAuth clients, whereas previously, all OAuth machine-to-machine clients were assigned the tenant administrator role. Customers can now regulate the permissions of OAuth clients by enhancing security around any sensitive data and restricting the permissible capabilities and actions of end-users.

If you have an existing OAuth client, it will have the user_default and admin_classic scopes assigned to maintain backward compatibility. You may choose to update the OAuth client to have the scopes you want tokens to possess if you want them to be more restrictive.

For new OAuth clients, you will need to select the scopes tokens will possess so they perform only the actions you want them to.

When users access applications with a Qlik Cloud OAuth client for the first time, they will need to grant the OAuth application permission to access the data the scopes allow. The scopes set for the OAuth client will appear in a consent screen users can accept.

Creating and managing OAuth clients

Registering data loaded by Stitch

Qlik Talend Data Integration users can now seamlessly bring in data landed by Stitch into Qlik data projects and utilize Qlik data transformation services on this data. New UI options allow Qlik users to choose settings such as the watermark column and soft deletions when registering incremental data ingested by Stitch. These settings tweak the generated SQL based on the choices selected and optimize transformation processing time and cost.

Registering data that is already on the data platform