v2.44

This release adds the Azure Synapse connector and rule filtering for improvement workflows, while improving address validation, PDF processing, and DQ-AI Assistant reliability and performance.

New Features

Azure Synapse Connector

• Added Azure Synapse as a new stand-alone connector. See documentation.

• Enables seamless integration of Synapse environments into the DQC Platform for rule generation, monitoring, and improvement workflows

Rule Filter for Improvement Workflows

• Introduced rule filtering directly on the input node in improvement workflows

• Enables more precise control over which issues from which rules should be improved within a workflow

• Rule filters work in combination with existing row filters and to be combined using AND/OR logic

Address Node Improvement

• Improved address node logic to increase the accuracy and reliability of address validation

• Added more robust column-level confidence scores for improved addresses

PDF Connector Enhancements

• Improved OCR recognition accuracy to enhance text extraction reliability

• Improved toast notifications during PDF uploads to clearly display how many files succeeded and failed out of the total upload

Small improvements and bug fixes

• Updated enrichment and address nodes to explicitly write “unchanged” for rows validated with high confidence, instead of leaving them empty

• Redesigned the static file upload architecture to significantly reduce loading times and improve overall performance

• Enhanced the DQ-AI Assistant on Azure SQL by filtering out unsupported rule predictions to ensure more reliable rule creation

• Improved the DQ-AI Assistant’s intent recognition to suggest business-relevant data quality rules earlier (when required in the discussion with the user)

Breaking Changes

None in this release