PostProcessDeduplikation
PostProcessDedup, short for post-process deduplication, is a data processing technique that identifies and removes duplicate artifacts that survive ingestion, transformation, or merging steps in a data pipeline. Duplicates may take the form of identical records, files, images, or media fragments that represent the same underlying entity.
The goal of PostProcessDedup is to reduce storage, improve data quality, and ensure consistency across downstream
Techniques used in post-process deduplication include exact deduplication using primary keys or full-record hashes; fingerprinting and
A typical workflow involves scanning a data set or stream, identifying duplicates, selecting a canonical representation,
Applications span log and event pipelines, data lakes and warehouses, content management systems, image and media