ISO/IEC 20547-3:2020
Information technology - Big data reference architecture - Part 3: Reference architecture
Abstract
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.
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.
Additional information
Publication type | International Standard |
---|---|
Publication date | 2020-03-04 |
Edition | 1.0 |
Available language(s) | English |
TC/SC | ISO/IEC JTC 1/SC 42 - Artificial Intelligencerss |
ICS | 35.020 - Information technology (IT) in general |
Pages | 38 |
File size | 3822 KB |
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