BS ISO/IEC 20547-3:2020 2022
$189.07
Information technology. Big data reference architecture – Reference architecture
Published By | Publication Date | Number of Pages |
BSI | 2022 | 48 |
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:
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a user view defining roles/sub-roles, their relationships, and types of activities within a big data ecosystem;
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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:
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provide a common language for the various stakeholders;
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encourage adherence to common standards, specifications, and patterns;
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provide consistency of implementation of technology to solve similar problem sets;
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facilitate the understanding of the operational intricacies in big data;
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illustrate and understand the various big data components, processes, and systems, in the context of an overall big data conceptual model;
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provide a technical reference for government departments, agencies and other consumers to understand, discuss, categorize and compare big data solutions; and
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facilitate the analysis of candidate standards for interoperability, portability, reusability, and extendibility.
PDF Catalog
PDF Pages | PDF Title |
---|---|
2 | National foreword |
7 | Foreword |
8 | Introduction |
9 | 1 Scope 2 Normative references |
10 | 3 Terms and definitions |
12 | 4 Abbreviated terms |
13 | 5 Conventions 6 Big data reference architecture concepts 6.1 General |
14 | 6.2 Views 6.3 Overview of user view |
15 | 6.4 Overview of functional view |
16 | 6.5 Relationship between the user view and the functional view 6.6 Relationship of the user view and functional view to cross-cutting aspects |
17 | 7 User view 7.1 Big data roles, sub-roles, and activities |
18 | 7.2 Role: Big data application provider (BDAP) 7.2.1 General |
19 | 7.2.2 Sub-role: big data collection provider (BDCP) 7.2.3 Sub-role: big data preparation provider (BDPreP) |
20 | 7.2.4 Sub-role: big data analytics provider (BDAnP) 7.2.5 Sub-role: big data visualization provider (BDVP) 7.2.6 Sub-role: big data access provider (BDAcP) 7.3 Role: big data framework provider (BDFP) 7.3.1 General |
21 | 7.3.2 Sub-role: big data infrastructure provider (BDIP) 7.3.3 Sub-role: big data platform provider (BDPlaP) 7.3.4 Sub-role: big data processing provider (BDProP) |
22 | 7.4 Role: big data service partner (BDSP) 7.4.1 General |
23 | 7.4.2 Sub-role: big data service developer (BDSD) 7.4.3 Sub-role: big data auditor (BDA) 7.4.4 Sub-role: big data system orchestrator (BDSO) |
24 | 7.5 Role: big data provider (BDP) 7.6 Role: big data consumer (BDC) |
25 | 8 Cross-cutting aspects 8.1 General 8.2 Security and privacy 8.3 Management |
26 | 8.4 Data governance 9 Functional view 9.1 Functional architecture 9.1.1 General |
27 | 9.1.2 Layering architecture |
28 | 9.1.3 Multi-layer functions 9.2 Functional components 9.2.1 General |
29 | 9.2.2 Big data application layer functional components |
31 | 9.2.3 Big data processing layer functional components |
33 | 9.2.4 Big data platform layer functional components |
36 | 9.2.5 Resource layer functional components |
37 | 9.2.6 Multi-layer functional components |
41 | Annex A (informative) Mapping big data RA functional view to other system integration RA |
42 | Annex B (informative) Examples of the relationship of roles in big data ecosystem |
43 | Annex C (informative) |
45 | Bibliography |