28 March 2023 Generate dynamic prediction dataset names with time-specific variables in Qlik AutoML Share this message When setting up a prediction configuration from an ML deployment in Qlik AutoML, you can now generate dynamic prediction dataset names with time-specific variables. This is available for both manually-run and scheduled predictions. It is particularly useful when scheduling multiple prediction jobs from the same ML deployment, and helps differentiate each dataset that you are generating based on when the prediction job was run. Using variables in prediction dataset file names Direct Query now supports Amazon Redshift You can now connect to Amazon Redshift databases using Direct Query. Direct Query allows analytics applications to directly query cloud databases with SQL pushdown as users interact with data through visualizations and filtering. App developers can use Direct Query to build SQL-centric applications for big-data analysis or near real-time scenarios. Accessing cloud databases directly with Direct Query Supported Amazon Redshift SQL data types How can we help? Barry has over 20 years experience as a Data & Analytics architect, developer, trainer and author. He will gladly help you with any questions you may have. Call us Mail us 22 April 2025 Qlik Cloud Learn Qlik Cloud introduces the new Learn page in activity centers, replacing Getting Started. Learn offers new learning paths for onboarding and a variety of resources to help users get up to speed with Qlik Cloud. The Learn page is available in Analytics, Insights, and Administration activity centers. New Release Qlik 22 April 2025 Data Flow: Expanded processors with RegEx support, multi-output forks, and number conversion Data Flow in Qlik Cloud now offers expanded no-code processors, including RegEx support for advanced string manipulations, a new Convert to number function, multi-output forks for flexible branching, and improved math operations. The Strings processor also features a new replace option to handle null values. New Release Qlik 22 April 2025 Data Flow: Enhanced expression editor in Calculate fields processor Data Flow introduces an enhanced expression editor in the Calculate fields processor, providing a guided experience. Users can select from available fields and functions, receive inline guidance, and access Qlik Help for learning about functions. The toolbar offers undo, redo, search and replace, and auto-complete hints for a more efficient workflow. New Release Qlik
22 April 2025 Qlik Cloud Learn Qlik Cloud introduces the new Learn page in activity centers, replacing Getting Started. Learn offers new learning paths for onboarding and a variety of resources to help users get up to speed with Qlik Cloud. The Learn page is available in Analytics, Insights, and Administration activity centers. New Release Qlik
22 April 2025 Data Flow: Expanded processors with RegEx support, multi-output forks, and number conversion Data Flow in Qlik Cloud now offers expanded no-code processors, including RegEx support for advanced string manipulations, a new Convert to number function, multi-output forks for flexible branching, and improved math operations. The Strings processor also features a new replace option to handle null values. New Release Qlik
22 April 2025 Data Flow: Enhanced expression editor in Calculate fields processor Data Flow introduces an enhanced expression editor in the Calculate fields processor, providing a guided experience. Users can select from available fields and functions, receive inline guidance, and access Qlik Help for learning about functions. The toolbar offers undo, redo, search and replace, and auto-complete hints for a more efficient workflow. New Release Qlik