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AS ISO/IEC 20546:2020
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Information technology — Big data — Overview and vocabulary
Identically adopts ISO/IEC 20546:2019, which provides a set of terms and definitions needed to promote improved communication and understanding of this area. It provides a terminological foundation for big data-related standards. This document provides a conceptual overview of the field of big data, its relationship to other technical areas and standards efforts, and the concepts ascribed to big data that are not new to big data. KEYWORDS: Big Data; Terminological foundation.
Table of contents
Header
About this publication
Preface
Foreword
Introduction
1 Scope
2 Normative references
3 Terms, definitions and abbreviated terms
3.1 Terms and definitions
3.2 Abbreviated terms
4 Key characteristics of big data
4.1 General
4.2 Key data characteristics
4.2.1 Data volume
4.2.2 Data velocity
4.2.3 Data variety
4.2.4 Data variability
4.3 Key data processing characteristics
4.3.1 Data science
4.3.2 Data volatility
4.3.3 Data veracity
4.3.4 Benefit
4.3.5 Data visualization
4.3.6 Structured and unstructured data
4.3.7 Scaling
4.3.8 Distributed file system
4.3.9 Distributed data processing
4.3.10 Non-relational databases
Annex A
A.1 General
A.2 Metadata
A.3 Algorithms
A.4 Cluster computing
A.5 Cloud computing
A.6 Data security
A.7 Privacy Protection Requirements
A.8 SQL
A.9 Parallel computing
A.10 Internet of things
A.11 Programming languages
Bibliography
Cited references in this standard
Please select a variation to view its description.
| Published | 04/12/2020 |
|---|---|
| Pages | 12 |
Please select a variation to view its pdf.
