Key pair support added for OpenID Connect Identity Providers

You can now generate a public-private key pair when provisioning an OIDC-based Identity Provider. This enables your Identity Provider to send user ID tokens to Qlik Cloud in a cryptographically secure manner during user authentication.

Managing key pairs for signed and encrypted ID tokens

Qlik Talend Data Integration improvements

Several issues have been resolved. If you are using Data Movement gateway, upgrade to the latest version to benefit from the resolved issues. For a list of resolved issues as well upgrade instructions (for Data Movement gateway), see Upgrading the Data Movement gateway installation.

Additional Qlik Talend Cloud application connectors

We are continuing to expand the connectivity of Qlik Talend Cloud with the addition of more insurance- and security-related applications that can now be used as a data source. By eliminating the need to develop custom connectors to access these sources, these connectors will help companies streamline their insurance workflows and accelerate their ability to fully assess security risks and compliance. The new connectors are:

• Guidewire BillingCenter 

• Guidewire ClaimCenter 

• Guidewire InsuranceNow 

• Guidewire PolicyCenter 

• Invicti 

• LevelBlue USM Anywhere  (formerly AlienVault)

• Microsoft InTune 

• Sophos 

Expanded Data Quality Computation for broader data sources

With the latest update to Qlik Talend Data Integration, users can now compute data quality in pull-up for datasets registered from SQL sources, as well as from files like CSV, XLS, and XLSX, in addition to the previously supported datasets stored in Snowflake. This expanded support empowers data product teams to ensure high-quality data across an even wider range of sources, delivering trusted, consistent data for various business use cases.

Key Features with this update, Qlik Talend Data Integration strengthens its integrated data management offering with expanded data quality profiling for:

• SQL databases, allowing pull-up computation for any registered datasets.

• File-based sources, including CSV, XLS, and XLSX files, enabling teams to profile and ensure data quality across structured data formats.

• Continued support for Snowflake datasets with push-down computations.

This enhancement ensures broader, more flexible data quality management, helping organizations gain more value from their data products, regardless of the source.

Data quality for connection-based datasets

Data quality for file-based datasets