Big data - Functional requirements for data provenance
- 참여자
-
하수욱, 이강찬
- 연도
- 2018
- 표준화기구
- ITU
- 표준번호
- Y.3602
- 원문링크
-
https://www.itu.int/rec/T-REC-Y.3602/en
- 협약과제
-
18HS3200, 점진적 기계학습 기반 자가진화(Self-Evolving) 에이전트 시뮬레이션을 이용한 사회변화 예측분석 기술 개발,
백의현
- 요약
- Recommendation ITU-T Y.3602 describes a model and operations for big data provenance. Also, this Recommendation provides the functional requirements for big data service provider (BDSP) to manage big data provenance. The reliability of data is an important factor in determining the reliability of the analysis result. Data provenance aims to ensure the reliability of data by providing transparency of the historical path of the data. In a big data environment, complex data processing and migration due to the big data lifecycle and data distribution cause various difficulties in managing data provenance.