v3.6

This release strengthens data improvement workflows, cross-table checks, operational notifications, and AI-assisted work across the DQC Platform. It also includes important reliability improvements for large tables, exports, OData access, worker processing, and air-gapped deployments.

New Features

Multiple improvement workflows per ruleset

• Rulesets now support multiple improvement workflows, making it easier to keep different remediation approaches side by side for the same quality checks.

  

Operational notifications in the Notification Center

• The Notification Center now also supports operational platform updates, including stale connector syncs that need attention.

• This continues the move toward one central place for relevant platform events, instead of spreading important updates across different surfaces.

  

Usage and consumption reporting API

• Added API support for tenant and cluster-admin usage reporting.

• This creates a clearer basis for monitoring platform consumption across tenants and environments.

Volume rule weighted moving average baseline

• Volume rules now support a weighted moving average baseline with configurable bounds per check.

• This helps detect unusual volume changes more reliably in time-dependent datasets.

PDF visual feedback

• PDF extraction now gives clearer visual feedback while users work with documents.

Improvements

DQ Assistants answer navigation questions more reliably

• Assistants now provide correct in-platform navigation paths when users ask where to find a feature or setting.

More reliable cross-table previews and executions

• Cross-table execution now applies ruleset scope, filters, and limits to the primary table only, avoiding incorrect filtering of joined data.

• Large-path cross-table previews now compute joined and failed counts more accurately, restoring correct chart values.

• Large cross-table rules are more reliable on big tables through pushed-down counts and samples, bounded issue samples, and fail-soft handling to avoid worker out-of-memory failures.

• Equals checks without join keys now support bidirectional set equality.

Ruleset and preview polish

• Ruleset check tables are more compact and now show skeleton loading states while checks load.

• The preview node message bar has been corrected.

• Ruleset check scope row limits are now also respected in sample previews.

• Improved handling of ruleset and company rule tag fields.

Faster overviews and exports

• The overview experience has been cleaned up and made faster.

• Issue export is more reliable when dealing with nested columns.

• Issue export description enrichment has been vectorized for better performance.

Connector and data access improvements

• OData access is more robust

• Connector state handling was fixed so connectors no longer remain stuck in loading in rare cases.

Small improvements and bug fixes

• All rows in a failing batch are now marked as failed instead of incorrectly marking them as completed.

• Python nodes no longer raise a type error for valid syntax.

• Profiling is more stable for inaccessible profiling data, UUID handling, and decimal correlation overflow.

• Output rows in improvement workflows now explicitly show 'No improvement found' instead of leaving the result empty.

• The sticky toast that could cover the group-create button can now be dismissed.

• Some dashboard notifications were removed to reduce noise.

Breaking Changes

• None in this release