30 april 2024 Improved usability and support of QVS script files Deel dit bericht Qlik Cloud now supports the ability to upload, view, and include QVS files in load scripts. Better support and improved usability of QVS files promotes scripting best practices, such as script reuse and modularity. Once uploaded to Catalog, Qlik Cloud users can view QVS file content using the new QVS viewer. QVS files may include reusable content such as subroutines, variables, color palettes, or calendars. QVS files can be included across apps and scripts within Data load editor and Script editor. If you previously uploaded QVS load script as a TXT file, the files will still function. They will not be treated as QVS files however unless their file extension is changed to QVS. Creating reusable load script with QVS files New DynamoDB Connector, ODBC-based The new Qlik DynamoDB connector provides seamless access to data stored in a DynamoDB database. This connector has all general configuration options directly in the connection definition user interface, and it supports authentication using AWS IAM credentials (access key & secret key) or a credentials file. The previous JDBC-based Qlik DynamoDB connector will continue to be supported until end of July 2024. DynamoDB Runtime evaluation option for actions The button gets a new setting so expressions can be evaluated in runtime. This allows for values set in an action to be carried forward to future actions in the chain. Creating buttons Tabular reporting task recipient list maximum has been modified When creating a tabular reporting task, you could previously add a maximum of 100 recipients to the task. This task maximum has been altered to allow for 100 unique reports to be generated from a task. Working with report tasks Not supported in Qlik Cloud Government. App performance evaluator enhancements We’re thrilled to announce a significant enhancement to the performance evaluator in Qlik Cloud. Now, you’ll receive reports when sub-parts of an object encounter issues or cannot be evaluated. This includes scenarios such as: Calculation conditions applied to measures or dimensions within an object. Instances where a reference to a measure or dimension has been removed from the master item library, affecting object functionality. Situations where expressions are disabled due to various reasons, ensuring you’re aware of any potential impact on your analytics. App performance evaluation New user guide for creating inline loads The Qlik Cloud documentation has been updated with a new overview of how to create inline loads in your apps and scripts. Inline loads are a powerful way to manually add data for use in analytics. The new guide provides use cases, detailed syntax descriptions, and examples. Using inline loads to load data Hoe kunnen we je ondersteunen? Barry beschikt over meer dan 20 jaar ervaring als architect, developer, trainer en auteur op het gebied van Data & Analytics. Hij is bereid om je te helpen met al je vragen. Bel ons Mail ons 13 mei 2025 Qlik Trust Score™ historization Qlik Cloud introduces Qlik Trust Score™ historization, allowing users to track quality trends over time. Visualize dimension-level trends, examine event histories, and identify specific events impacting scores. This enables proactive governance and targeted quality improvements. New Release Qlik 8 mei 2025 AI processor for transformation flows now supported in Qlik Cloud Government Qlik Cloud Government now supports an AI processor in transformation flows, enabling easy integration with Databricks and Snowflake AI capabilities. The processor offers seven generative AI functions for Databricks and four for Snowflake, including sentiment analysis, text summary, translation, and more. This enhancement streamlines data processing and leverages advanced AI technologies for improved data management. New Release Qlik 8 mei 2025 AI processor for transformation flows now supported in Qlik Cloud Government Qlik Cloud Government now supports an AI processor in transformation flows, enabling easy integration with Databricks and Snowflake Cortex AI capabilities. The processor offers seven generative AI functions for Databricks, including sentiment analysis, grammar correction, translation, text summary, string similarity, data masking, and classification. For Snowflake, it provides sentiment analysis, data classification, text summary, and translation. This enhancement streamlines data processing and leverages advanced AI for improved data management. New Release Qlik
13 mei 2025 Qlik Trust Score™ historization Qlik Cloud introduces Qlik Trust Score™ historization, allowing users to track quality trends over time. Visualize dimension-level trends, examine event histories, and identify specific events impacting scores. This enables proactive governance and targeted quality improvements. New Release Qlik
8 mei 2025 AI processor for transformation flows now supported in Qlik Cloud Government Qlik Cloud Government now supports an AI processor in transformation flows, enabling easy integration with Databricks and Snowflake AI capabilities. The processor offers seven generative AI functions for Databricks and four for Snowflake, including sentiment analysis, text summary, translation, and more. This enhancement streamlines data processing and leverages advanced AI technologies for improved data management. New Release Qlik
8 mei 2025 AI processor for transformation flows now supported in Qlik Cloud Government Qlik Cloud Government now supports an AI processor in transformation flows, enabling easy integration with Databricks and Snowflake Cortex AI capabilities. The processor offers seven generative AI functions for Databricks, including sentiment analysis, grammar correction, translation, text summary, string similarity, data masking, and classification. For Snowflake, it provides sentiment analysis, data classification, text summary, and translation. This enhancement streamlines data processing and leverages advanced AI for improved data management. New Release Qlik