Customizable data quality in Qlik Talend Data Integration

The latest Qlik Cloud Catalog update brings customizable data quality capabilities, allowing users to tailor data quality compute, and offering enhanced flexibility to better align data quality processes with business needs while optimizing resource usage.

Key features:

• Configurable sample size: Choose the number of rows or a percentage of your dataset to calculate data quality, enabling precise control over the scope of data to be checked.

• Processing mode options: With the ability to select between two processing modes – Pushdown mode (leveraging Snowflake’s power) or Pullup mode (utilizing Qlik Cloud’s engine) – businesses can optimize processing based on their infrastructure and goals.

Configuring data quality

Execution token renewal for triggered automations

Qlik Application Automation now supports the renewal of the execution token of a triggered automation. This can be done from the Start block in the automation editor.

Working with webhooks

Time-aware training in AutoML

Users with training data that is sensitive to changes over time can optionally choose to use a date as their test-train split parameter when configuring an ML experiment version.

Creating time-aware models

Chart background image by URL

Chart background by URL may seem small but offers huge potential to style and build up a highly dynamic and stylish app.

Useful for:

• Linking images from external sources.

• Building up dynamic images using an expression with inline SVG as a Data URI.

• Fetching images from the media library with an expression and the API.

Image by URL can be used in:

• Chart backgrounds

• Straight table cells

• Pivot table cells

• Map point layer icons

• Map chart background layers