What’s New in Qlik Cloud

Data Analytics: Increasing AI Integration and Customisation

The latest updates extend Qlik’s integration into AI technology to help with the creation of Qlik application expressions and extend data interpretation. Let’s dive into the key features and advancements introduced recently.

1. Insight Advisor Expression Generation
Have the Insight Advisor AI-assistant to write your visualisation expressions! New Qlik users can find expressions with set analysis, intimidating. The new expressions generator uses natural language processing to turn natural language into a Qlik expression.

2. Open AI Embeddings Connector
The OpenAI embeddings connector allows customers to convert text into numeric values for various use cases. Qlik users can generate this data directly through Qlik Sense, expanding the possibilities of data analysis and search.

3. Line Object
Sometimes a simple change can make a substantial difference. The new line object enables the drawing of simple lines on sheets, separating or grouping content, and creating bespoke dashboards with customisable design, width, and colour options.

4. New ODBC Connector via Direct Access
At last, it is possible to connect to your on-premise data stores using standard ODBC drivers, providing greater flexibility in accessing data where Qlik does not have a built-in connector. Integral to this change is the latest version of Direct Access gateway (1.5.2) which resolves some performance issues.

Data Integration: Improvements in Task Monitoring and Data Loads

1. Centralized Monitoring Views
Qlik Cloud Data Integration now offers the capability to monitor the status and progress of data integration tasks. This new capability allows for the admin user to filter on certain projects, task types or data platform.
This is a great new enhancement offering a high-level governance view of the current status of projects within a Qlik Cloud Data Integration tenant.

2. Landing Reload Selected Tables
It is now possible to manually reload selected source tables in a landing task. This is particularly useful in the event of recovering single tables in the result of an error in the landing task.

3. Improvement for Error Handling
Qlik Cloud Data Integration has improved its capabilities in error handling. When a user needs to recover suspended or failed loads within the landing area of a pipeline, this can be done with ease. Any subsequent and dependent tasks will automatically react, which will bring the whole pipeline back into sync and online.