Automated metadata harvesting, data mapping, code generation and data lineage
Automated Metadata Harvesting, Data Cataloging and Data Quality
Schedule ongoing scans from the widest array of metadata sources and targets, including reference data and code sets, enabling automated metadata harvesting to update the catalog while leaving enrichments in place. Combined with reference data management, data profiling and lifecycle management, these capabilities keep your metadata current with full versioning and change management, reducing expensive manual tasks and rework.
Drag-and-Drop Data Mapping
Use source and target system metadata to accelerate the creation of source-to-target, metadata-driven mapping. Our drag-and-drop approach and auto mapping feature eliminates manual work and costly errors that are usually seen with a traditional Excel approach.
Universal Code Generation
ETL/ELT and code generation for other data integration components can be automated and customized to meet customer-specific requirements with plug-in SDKs to accelerate project delivery and reduce rework.
Upstream & Downstream Data lineage with Impact Analysis
Generate end-to-end lineage between repositories and view data flows from source systems to reporting layers, including intermediate transformation and business logic. Instantly identify the impact of changes to business terms or physical data before you make them.