metadataflow
Metadataflow is a concept in data management that describes the end-to-end movement, transformation, and synchronization of metadata across multiple systems during data pipelines and governance activities. It focuses on metadata rather than the data itself, encompassing source identifiers, schemas, lineage, quality metrics, ownership, access policies, and usage statistics.
Architecturally, metadataflow involves multiple elements: metadata sources such as data stores, BI tools, and ETL processes;
Workflows in metadataflow include automated discovery and catalog synchronization, propagation of lineage information across systems, policy
Common use cases include populating and refreshing data catalogs, supporting governance and compliance initiatives, enabling impact
See also: data catalog, data lineage, data governance, Open Metadata.