Preview new asset panel
Nov 19 Qlik has launched a preview mode for new functionality, the switch is visible in the asset panel in edit mode. The first feature for preview is the new design of the tabs for Fields, Master items, Charts, Custom objects, Application navigation and Dynamic views. The Fields tab also allows for selections in edit mode and has got the histogram from simplified authoring. The new asset panel will be turned on for all users in January.
Analyses
As an alternative to creating visualizations by selecting a chart and then adding your data, analyses allow you to build visualizations by picking the analysis type you want to create and then adding your data to it. The analyses then build visualizations based on your fields and selected analysis type. You can customize your analyses as well as convert them into charts for more customization options.
Assistant customizations
Give your users a more personalized experience by customizing your Qlik Answers assistants. You can now customize the avatar and in-chat error messages through the assistant settings page.
Customizing assistant settings
Anomaly detection and handling in AutoML
Intelligent model optimization will assess each feature to identify anomalies that may cause impact on training. These values will be weighted to reduce the impact of outliers on trained model performance.
Anomaly detection and handling
Navigation menu
A big part of the app experience is the navigation between sheets. With our new navigation menu, you can style it as you prefer. Set to a top menu, a side panel, or as a pop up drawer. Pick any colors and choose the font that you desire.
Tab container
The new tab container is an improvement the old container object with a new name and styling settings for labels, tabs and icons. Key features include:
Visualization improvements
Straight table
Chart exploration in the new straight table is now supported in layout container and the new tab container. The new straight table also gets word wrap of headers and content.
Pivot table
The new pivot table gets range selection.
Layout container
The layout container is now supported in custom tooltips.
Holding shift while resizing the layout container will keep charts in same place and size.
Scatter plot
Scatter plot gets options for bubble outline color and support for reference lines with slope.
Improvements to intelligent model optimization
The processing and training workflow for intelligent model optimization has been enhanced with new capabilities. Intelligent model optimization is activated by default in new ML experiments, and offers automated refinement of machine learning models created with AutoML.
Continuous numeric features will be binned into buckets to re-balance the distribution of data. This new feature will be tested to see if the quality of the model is impacted with and without the transformation.
For numeric features that are identified as skewed, the values will have a power transform applied to generate new features for model training.
Intelligent model optimization
Styling of selection bar with custom themes
The selection bar can now be styled using custom themes.
Basic styling of apps using custom themes
Action to set active cyclic dimension field
The button got an another action for controlling cyclic dimensions. Use Set active field to go to a specific field in the group.
Straight table styling improvements
The new style settings include:
Extended Data Quality computation for QVDs
With the latest update to Qlik Talend Data Integration, users can now compute data quality in pull-up mode for QVDs, in addition to the previously supported dataset types. This extended support enables data product teams to maintain trusted, consistent data across diverse sources and formats, enhancing reliability for various business needs across Qlik Talend Cloud platform.
Key Features with this update, Qlik Talend Data Integration strengthens its integrated data management offering with extended data quality profiling for:
Data quality for connection-based datasets
Data quality for file-based datasets
Schema evolution improvements
Schema evolution has been supported in Qlik Talend Cloud replication tasks, and with this update we have extended the capability to also support data lake landing tasks and pipeline projects for landing and storage tasks.
Qlik Talend Cloud supports schema evolution to easily detect structural changes, aka schema drift, to multiple relational data sources and automatically apply the changes to your pipeline. You can configure how each type of DDL operation captured is applied to the target.
Notifications of schema changes are also supported to assist ETL engineers adjusting downstream pipelines, as required. Notifications can be enabled when automatic schema evolution is enabled or disabled for any data movement task, including Replication,data lake landing, and landing tasks.
Note: Schema evolution requires Data Gateway – Data Movement version 2024.5.28 or higher.
For more details, see:
Data Integration: deleting projects
We have lifted restrictions when it comes to deleting projects. You can now delete projects and their included tasks in one click, provided the tasks are not currently running.
Transformation flows: added support for Amazon Redshift
Transformation flows are now supported in data pipeline projects using Amazon Redshift as target. Users can now develop graphical transformations alongside the custom SQL based transformations to support complex requirements for reshaping data.
Freshness indicator for enhanced data quality of datasets
With the latest update to Qlik Talend Cloud Enterprise edition, users can now track data freshness in real time with the new Freshness Indicator. Sent by Qlik Talend Data Integrationwhenever there’s an update to the data pipeline, this feature helps users quickly assess the timeliness and reliability of their datasets. The freshness is determined either by the date of the pipeline run or by the date of changes in the data source (for Change Data Capture scenarios). The indicator is available from the dataset overview, accessible through Qlik Cloud Data Catalog or Data Products Marketplace.
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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.
Any questions please contact our consultants. Responding in one working day.