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Qlik Cloud January 2025: what’s new

DATA ANALYTICS

Qlik Application Automation packaging shifts to third-party runs

Today we introduce the concept of third-party runs in Qlik Application Automation. This is the first step towards a shift in our packaging that focuses on third-party runs only, while standard runs will become free of charge.

For more information, see Packaging shift to third-party runs for Qlik Application Automation

Data flow: No-code data preparation for analytics and AI

Qlik Cloud Analytics is introducing Data Flow, a native no-code capability to simplify the last mile of data preparation for analytics, machine learning, and AI. Data Flow offers intuitive drag-and-drop interfaces for visually combining and shaping datasets, balancing self-service functionality with proper governance. This approach aims to democratize data preparation while maintaining data integrity and security.

Curious to see the transformation in action? Dive into this interactive product tour Mike Tarallo put together and explore how Qlik takes data prep to the next level!

Introducing:

Key features:

  • Visual editor: An intuitive drag-and-drop experience for creating data preparation flows. Load data from your catalog or connection sources and output files in formats such as QVD and PARQUET, ready for analytics and AutoML applications.
  • No-code processors: A rich palette of processors allows you to cleanse and shape your data, including data manipulation operations such as string, number, date and cleansing functions, and re-structuring capabilities such as joining, aggregating, and filtering data.
  • Data preview: Preview a sample of the actual data output at each step of your flow, ensuring accuracy and full visibility throughout the process.
  • Script generation: Automatically generates Qlik script that you can preview for transparency and to familiarize yourself with the syntax. For more advanced use cases, include custom scripts with the “Qlik script” processor or script expressions using the “Calculate fields” processor. You can also convert a data flow into an editable script for further customization.
  • Platform integration: Data flow is a fully integrated asset available in Analytics activity centers, leveraging spaces, lineage, and impact analysis to support collaboration and governance. Like scripts or analytics apps, data flows can be run and scheduled to streamline your end-to-end analytics workflows.

Loading and preparing data with data flow

See a use case and demo:

Note: Not supported in Qlik Cloud Government.

Improvements to the advanced edit mode assets panel

The assets panel in the advanced edit mode has been updated with a new look and feel.

Advanced options for editing sheets

Native support for regular expressions

Qlik Cloud Analytics now includes native support for regular expressions (regex) in both load scripts and chart expressions, enabling users to enhance data preparation and analytics workflows with advanced text pattern matching, extraction, and transformation. Regular expressions offer advanced and flexible options for processing text-based data, supporting use cases such as identifying email addresses, validating formats, and standardizing data based on defined patterns.

Working with regular expressions in load scripts and chart expressions

ML Deployment UI Improvements

In AutoML, improvements have been made to the user experience for generating batch predictions from ML deployments.

Creating predictions on dataset

Note: Not supported in Qlik Cloud Government.

 

DATA INTEGRATION

Qlik Application Automation packaging shifts to third-party runs

Today we introduce the concept of third-party runs in Qlik Application Automation. This is the first step towards a shift in our packaging that focuses on third-party runs only, while standard runs will become free of charge.

For more information, see Packaging shift to third-party runs for Qlik Application Automation

Changing owner of a data project

You can now change the owner of a project to transfer control of all tasks and related datasets in the data project to another user. This is for example useful if there are projects that are owned by a user that was deleted.

Changing owner of a project

AI processor for Snowflake

The AI processor in transformation flows now supports Snowflake Cortex AI functions. The Snowflake implementation of the AI processor includes four state-of-the-art generative AI functions:

  • Sentiment analysis
  • Data classification
  • Text summary
  • Translation

AI processor

Note: Not supported in Qlik Cloud Government.

Support for additional ODBC and JDBC connection properties in the Snowflake target connector

The Snowflake target connector for data replication and data pipelines now supports configuration of advanced (additional) connection properties. This allows users to have fine-grained control over connection definitions beyond standard parameters, including adding properties such as Role, Secondary Role, and more. While this release introduces support for the Snowflake target connector, more connectors are planned to follow.

Additional connection properties

Note: Requires Data Movement gateway 2024.5.54 or later.

Easier way of documenting dataset descriptions

Qlik Talend Cloud lets users accelerate their documentation tasks by leveraging generative AI to describe a dataset. Based on the dataset and columns names, the description will be populated leveraging generative AI with a description that can be accepted, rejected, or modified.

  • This feature is available only for Qlik Talend Cloud Enterprise.
  • English is the only language currently supported.

Generating an AI-based dataset description

……. … ………… ….

  • Qlik Cloud November 2024: what’s new – read here.
  • Qlik Cloud July 2024: what’s new – read here.
  • Qlik Cloud August-September 2024: what’s new – read here.
  • Qlik Cloud October 2024: what’s new – read here.
  • Qlik Cloud December 2024: what’s new – read here.

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