Loading content
Data lineage standards provide a structured method for documenting data flows and transformations. They ensure that data can be consistently traced and interpreted across systems. This aids in compliance requirements and enhances data management.
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.
Data lineage standards describe how data origin, movement, and transformation are documented so that data flows can be traced and interpreted consistently across systems.
The approach emerged from distributed data environments: organizations needed to see where data came from, how it changed, and where it went for analysis, operations, and governance. Ad hoc documentation was not enough. Data lineage standards provide shared terms and metadata rules so business and technical views refer to the same data path.
Think of data lineage as a map in three layers. At the bottom are sources, transformations, and destinations. Above that, a metadata model captures the necessary details such as fields, processing steps, and dependencies. At the top, governance ensures that tools and teams read the same paths in the same way. The result is a reliable route description of how data travels.
They provide the data and mark the starting point of a traceable path.
Data is cleaned, enriched, aggregated, or reshaped here.
Context information describes origin, processing steps, timestamps, and ownership.
The business view shows how data is used in reports, processes, and decisions.
The technical view follows system-to-system flows, jobs, and dependencies for operations and troubleshooting.
Rules for terms, responsibilities, and maintenance keep lineage information consistent and usable.
This orientation is useful for data governance programs, impact analysis, migrations, audits, and troubleshooting. It also helps align business and engineering when teams need shared definitions and reliable provenance evidence. Its value depends on current, accurate metadata; without clear ownership or automation, documentation quickly becomes incomplete or expensive to maintain.
Where this building block is located in the topic model.
Explore how this building block connects to concepts, methods, technologies, and tools.
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.