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Qlik Cloud November 2024: what’s new

DATA ANALYTICS

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.

Creating and editing analyses

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.

Navigation menu

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:

  • Label font styling: Family, size, color, alignment.
  • Label icon size, color and alignment.
  • Tab background, selected, and hover color settings. Color by fixed colors or by expression.
  • Styling for labels, tabs and icons, both for the whole container and per tab.
  • Support for label width by pixel or percent.
  • Support for longer labels.
  • Settings for vertical or horizontal tabs.
  • Improved menu experience.

Tab container

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.

Straight table

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.

Creating scatter plots

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

Extended object styling

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.

Creating buttons

Straight table styling improvements

The new style settings include:

  • Background color and image
  • Font styling for header, dimension, measure and totals with font family, weight, size, foreground and background color
  • Grid styling with height, border and divider color and hover color options.
  • Null value font styling with font weight, foreground and background color

Straight table

DATA INTEGRATION

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:

  • SQL databases, allowing pull-up computation for any registered datasets.
  • File-based sources, including QVDs, CSV, XLS, and XLSX files, enabling teams to profile and ensure data quality across structured data formats.
  • Continued support for Snowflake datasets with push-down computations.

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.

Adding transformation flows

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.

Data Freshness

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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.


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