Big data - Functional requirements for data provenance

  • Home
  • Big data - Functional requirements for data provenance

Error message

User warning: The following module is missing from the file system: cascading_grants_services. For information about how to fix this, see the documentation page. in _drupal_trigger_error_with_delayed_logging() (line 1184 of /var/www/html/web/includes/bootstrap.inc).

ITU-T Y.3602 (12/2018)

Big data - Functional requirements for data provenance

SCOPE

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.

WORKING GROUP
LATEST PUBLICATION DATE
December 2014
WIKI WATCH

Insert here: activities, gaps, opportunities, and other user driven comments

Back to the search results