Information technology — Big data reference architecture — Part 3: Reference architecture (Adopted ISO/IEC 20547-3:2020, first edition, 2020-03)
Standards development within the Information Technology sector is harmonized with international standards development. Through the CSA Technical Committee on Information Technology (TCIT), Canadians serve as the SCC Mirror Committee (SMC) on ISO/IEC Joint Technical Committee 1 on Information Technology (ISO/IEC JTC1) for the Standards Council of Canada (SCC), the ISO member body for Canada and sponsor of the Canadian National Committee of the IEC. Also, as a member of the International Telecommunication Union (ITU), Canada participates in the International Telegraph and Telephone Consultative Committee (ITU-T).
For brevity, this Standard will be referred to as CSA ISO/IEC 20547-3 throughout.
At the time of publication, ISO/IEC 20547-3:2020 is available from ISO and IEC in English only. CSA Group will publish the French version when it becomes available from ISO and IEC.
This Standard has been formally approved, without modification, by the Technical Committee and has been developed in compliance with Standards Council of Canada requirements for National Standards of Canada. It has been published as a National Standard of Canada by CSA Group.
This document specifies the big data reference architecture (BDRA). The reference architecture includes concepts and architectural views.
The reference architecture specified in this document defines two architectural viewpoints:
- a user view defining roles/sub-roles, their relationships, and types of activities within a big data ecosystem;
- a functional view defining the architectural layers and the classes of functional components within those layers that implement the activities of the roles/sub-roles within the user view.
The BDRA is intended to:
- provide a common language for the various stakeholders;
- encourage adherence to common standards, specifications, and patterns;
- provide consistency of implementation of technology to solve similar problem sets;
- facilitate the understanding of the operational intricacies in big data;
- illustrate and understand the various big data components, processes, and systems, in the context of an overall big data conceptual model;
- provide a technical reference for government departments, agencies and other consumers to understand, discuss, categorize and compare big data solutions; and
- facilitate the analysis of candidate standards for interoperability, portability, reusability, and extendibility.