metadatawhile
Metadatawhile is a term used in data processing and software design to describe a pattern in which metadata is collected and updated during the execution of a loop that iterates while a condition remains true. It emphasizes maintaining contextual information about the processing, such as provenance, data quality metrics, versioning, timestamps, and lineage, as the loop progresses.
The concept operates by keeping a separate metadata record or store that is updated within each iteration
Common use cases include batch processing tasks that must preserve a detailed processing trail, streaming or
Benefits of metadatawhile include improved traceability, easier debugging, and better reproducibility of results. Potential drawbacks are
Because metadatawhile is not a universally standardized term, its exact implementation varies by language and framework.