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Cross-System End-to-End Lineage

Data lineage is essential for understanding the journey of data throughout its lifecycle, from its origins to its transformations and eventual consumption. It maps how data flows across systems, processes, and applications, offering visibility into the relationships between data assets. This visibility is critical for ensuring data accuracy, consistency, and trust, especially in complex environments. 

Semantic Lineage

Visualize representation of inferred relationships from a term, concept, or logical Model to a physical representation.

Control Lineage

Visual representation of column (lookup) or row (filter) controls that impact what data is moved between sources and targets 

Lineage Views

Graphical diagram and textual and hierarchical tree views aid working with complex lineage. 

Environment Stitching

An automated process that infers relationships between data stores and supporting lineage tracing across systems and environments.

Data Flow Lineage

Visual representation of data between data stores and physical transformation rules down to a field level.

Lineage Analysis

Display of both upstream and downstream processing logic and operations that are applied to columns and tables

Data Mapping

Column level mapping specification editor for defining source to target transformation operations.

What Our Clients Say

VP Data Management, Top 5 Hospitality Company 

"MetaKarta data lineage capabilities are impressive and have given usvisibility into both technical and business lineage, helping us navigate and manage a highly complex data ecosystem."

 

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