Big data - Functional requirements for data provenance
- Contributors
-
Suwook Ha, Kangchan Lee
- Year
- 2018
- Standard Body
- ITU
- Standard No.
- Y.3602
- Source Link
-
https://www.itu.int/rec/T-REC-Y.3602/en
- Project Code
-
18HS3200, Development of Predictive Analysis Technology on Socio-Economics using Self-Evolving Agent-Based Simulation embedded with Incremental Machine Learning,
Eui Hyun Paik
- Abstract
- 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.