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A metadata management system enables structured capture, storage, and analysis of metadata. It enhances data quality and integration, supports compliance with regulations, and promotes data reusability.
Use this profile to understand the building block briefly, place it in the model, and switch to the 360° assessment when needed.
Theoretical construct: explains a term, principle, or mental model.
What you need to understand to reason about a domain.
A metadata management system collects, manages, and distributes descriptions of data assets and their use.
These systems emerged when distributed databases and data warehouses needed shared technical and business descriptions. Open-source projects such as Apache Atlas combine cataloguing, classification, and lineage functions.
The system is the administration layer of a data catalog: it ingests schemas and lineage, links them to business terms, and serves the information to search, governance, and analysis.
A discoverable directory of data assets.
Links between source, processing, and destination.
Grouping by business or technical attributes.
A metadata management system shortens discovery and supports governance. Its orientation is only as good as its connected sources and stewardship.
Where this building block is located in the topic model.
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These sources establish the term and its professional meaning.
All direct connections of the current building block in a compact text view.
This classification shows where the building block typically matters, how demanding it is, and what kind of impact it has in the model.
The level within the organization (enterprise, domain, team) at which the AssetBlock is applied.