Release Notes

Release8.2 focuses on AI-assisted analytics, metadata governance, Data Products, Data Quality, lineage, connector capabilities, and operational efficiency across the OvalEdge platform. It introduces new capabilities for governed AI workflows, improves metadata discovery and management, strengthens Data Quality monitoring, and enhances visibility and control across platform operations.

Notable updates include:

• AI and askEdgi Enhancements: Parameterized Recipes for reusable analytical workflows, natural language-based code editing, contextual asset references using @mentions, expanded RAG coverage, AI Data Sharing controls, automated Recipe descriptions, improved Recipe execution, workspace data retention and reload capabilities, and an enhanced agent framework for more accurate analysis.

• Data Products and Governance: Configurable Featured Tags for Marketplace discovery, improved governance role management and cascading, Metadata Access as a delivery mode, draft versioning for published Data Products, lifecycle notifications, configurable Sensitivity and Criticality values, approval-based Data Product requests, and enhanced inline editing and filtering.

• Data Quality and Reference Data Management: Introduction of Warn severity for proactive Data Quality monitoring, overall statistics in the Last Execution Dashboard, improved Data Quality Rules downloads, Business Glossary references in Data Quality Rules and Reference Data Management, and consolidated visibility of service requests associated with data objects.

• Metadata Management and User Experience: Improved Browser Extension issue reporting, configurable File Manager upload limits, enhanced Question Wall room organization and navigation, expanded empty-value filtering, connector references in descriptions and Data Stories, standardized governance role display, PDF export for Data Stories, and improved Query Sheet processing.

• Lineage and AI-Driven Automation: AI-augmented lineage for Azure Data Factory, expanded manual lineage associations, standardized lineage statuses, categorized parsing errors, improved lineage execution traceability, and enhanced dependency mapping across supported objects.

• Connectors and Integration Enhancements: Introduction of the Microsoft Fabric OneLake connector, enhanced Bridge health and lifecycle monitoring, standardized batch profiling, connector Draft Save, AWS connection pooling, expanded Salesforce metadata support, Azure Blob-based QVD ingestion, and improved connector administration and monitoring.

• Jobs and Operational Improvements: Enhanced Jobs Queue Trend visibility, execution date filtering, configurable concurrent job execution controls, Connector Health job monitoring, new and updated Advanced Jobs, additional System Settings, centralized masking policy association visibility, and multiple reliability and performance improvements across modules.

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