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ISO/IEC TR 20547-1:2020

Information technology – Big data reference architecture – Part 1: Framework and application process

Last updated: 18 Jul 2024

Development Stage

Pre-draft

Draft

Published

31 Aug 2020
published

Scope

What is ISO/IEC TR 20547-1 about?

ISO/IEC TR 20547-1 is an international standard on artificial Intelligence which includes task performance that normally requires human intelligence.

ISO/IEC TR 20547-1 is the first part in the multi-series of documents that describes the framework of the big data reference architecture (BDRA) and the process for how a user of the document can apply it to their particular problem domain.

Who is ISO/IEC TR 20547-1?

ISO/IEC TR 20547-1 on BDRA is relevant to:

  • IT industry
  • Developers
  • Programmers
  • Organizations
  • Software and systems engineering
  • Big data engineering

Why should you use ISO/IEC TR 20547-1?

The big data paradigm is a rapidly changing field with rapidly changing technologies. This dynamic situation creates two significant issues for potential implementers of the technology. First, there is a lack of standard definitions for terms including the core concept of big data. The second issue is that there is no consistent approach to describe a big data architecture and implementation. ISO/IEC TR 20547-1 describes the reference architecture framework and provides a process for mapping a specific problem set/use case to the architecture and evaluating that mapping.

Adopting ISO/IEC TR 20547-1 can ensure that systems that collect and analyze big data can securely and reliably interoperate and share data.

© British Standards Institution 2022

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Categorisation

Domain: Horizontal

Key Information

Organisation: ISO/IEC
Committee: ISO/IEC JTC 1/SC 42

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