{"id":415319,"date":"2024-10-20T06:04:32","date_gmt":"2024-10-20T06:04:32","guid":{"rendered":"https:\/\/pdfstandards.shop\/product\/uncategorized\/bs-iso-iec-20547-32020-2022\/"},"modified":"2024-10-26T11:17:44","modified_gmt":"2024-10-26T11:17:44","slug":"bs-iso-iec-20547-32020-2022","status":"publish","type":"product","link":"https:\/\/pdfstandards.shop\/product\/publishers\/bsi\/bs-iso-iec-20547-32020-2022\/","title":{"rendered":"BS ISO\/IEC 20547-3:2020 2022"},"content":{"rendered":"
This document specifies the big data reference architecture (BDRA). The reference architecture includes concepts and architectural views.<\/p>\n
The reference architecture specified in this document defines two architectural viewpoints:<\/p>\n
a user view defining roles\/sub-roles, their relationships, and types of activities within a big data ecosystem;<\/p>\n<\/li>\n
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.<\/p>\n<\/li>\n<\/ul>\n
The BDRA is intended to:<\/p>\n
provide a common language for the various stakeholders;<\/p>\n<\/li>\n
encourage adherence to common standards, specifications, and patterns;<\/p>\n<\/li>\n
provide consistency of implementation of technology to solve similar problem sets;<\/p>\n<\/li>\n
facilitate the understanding of the operational intricacies in big data;<\/p>\n<\/li>\n
illustrate and understand the various big data components, processes, and systems, in the context of an overall big data conceptual model;<\/p>\n<\/li>\n
provide a technical reference for government departments, agencies and other consumers to understand, discuss, categorize and compare big data solutions; and<\/p>\n<\/li>\n
facilitate the analysis of candidate standards for interoperability, portability, reusability, and extendibility.<\/p>\n<\/li>\n<\/ul>\n
PDF Pages<\/th>\n | PDF Title<\/th>\n<\/tr>\n | ||||||
---|---|---|---|---|---|---|---|
2<\/td>\n | National foreword <\/td>\n<\/tr>\n | ||||||
7<\/td>\n | Foreword <\/td>\n<\/tr>\n | ||||||
8<\/td>\n | Introduction <\/td>\n<\/tr>\n | ||||||
9<\/td>\n | 1 Scope 2 Normative references <\/td>\n<\/tr>\n | ||||||
10<\/td>\n | 3 Terms and definitions <\/td>\n<\/tr>\n | ||||||
12<\/td>\n | 4 Abbreviated terms <\/td>\n<\/tr>\n | ||||||
13<\/td>\n | 5 Conventions 6 Big data reference architecture concepts 6.1 General <\/td>\n<\/tr>\n | ||||||
14<\/td>\n | 6.2 Views 6.3 Overview of user view <\/td>\n<\/tr>\n | ||||||
15<\/td>\n | 6.4 Overview of functional view <\/td>\n<\/tr>\n | ||||||
16<\/td>\n | 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 <\/td>\n<\/tr>\n | ||||||
17<\/td>\n | 7 User view 7.1 Big data roles, sub-roles, and activities <\/td>\n<\/tr>\n | ||||||
18<\/td>\n | 7.2 Role: Big data application provider (BDAP) 7.2.1 General <\/td>\n<\/tr>\n | ||||||
19<\/td>\n | 7.2.2 Sub-role: big data collection provider (BDCP) 7.2.3 Sub-role: big data preparation provider (BDPreP) <\/td>\n<\/tr>\n | ||||||
20<\/td>\n | 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 <\/td>\n<\/tr>\n | ||||||
21<\/td>\n | 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) <\/td>\n<\/tr>\n | ||||||
22<\/td>\n | 7.4 Role: big data service partner (BDSP) 7.4.1 General <\/td>\n<\/tr>\n | ||||||
23<\/td>\n | 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) <\/td>\n<\/tr>\n | ||||||
24<\/td>\n | 7.5 Role: big data provider (BDP) 7.6 Role: big data consumer (BDC) <\/td>\n<\/tr>\n | ||||||
25<\/td>\n | 8 Cross-cutting aspects 8.1 General 8.2 Security and privacy 8.3 Management <\/td>\n<\/tr>\n | ||||||
26<\/td>\n | 8.4 Data governance 9 Functional view 9.1 Functional architecture 9.1.1 General <\/td>\n<\/tr>\n | ||||||
27<\/td>\n | 9.1.2 Layering architecture <\/td>\n<\/tr>\n | ||||||
28<\/td>\n | 9.1.3 Multi-layer functions 9.2 Functional components 9.2.1 General <\/td>\n<\/tr>\n | ||||||
29<\/td>\n | 9.2.2 Big data application layer functional components <\/td>\n<\/tr>\n | ||||||
31<\/td>\n | 9.2.3 Big data processing layer functional components <\/td>\n<\/tr>\n | ||||||
33<\/td>\n | 9.2.4 Big data platform layer functional components <\/td>\n<\/tr>\n | ||||||
36<\/td>\n | 9.2.5 Resource layer functional components <\/td>\n<\/tr>\n | ||||||
37<\/td>\n | 9.2.6 Multi-layer functional components <\/td>\n<\/tr>\n | ||||||
41<\/td>\n | Annex A (informative) Mapping big data RA functional view to other system integration RA <\/td>\n<\/tr>\n | ||||||
42<\/td>\n | Annex B (informative) Examples of the relationship of roles in big data ecosystem <\/td>\n<\/tr>\n | ||||||
43<\/td>\n | Annex C (informative) <\/td>\n<\/tr>\n | ||||||
45<\/td>\n | Bibliography <\/td>\n<\/tr>\n<\/table>\n","protected":false},"excerpt":{"rendered":" Information technology. Big data reference architecture – Reference architecture<\/b><\/p>\n |