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GB/T 35589-2017 in English

GB/T 35589-2017 in English

VALID

Information technology—Big data—Technical reference model

  • Issued on:2017-12-29
  • Implemented on:2018-07-01
  • File Format:PDF
  • Delivery:Via email within 1~3 business days
Price(USD): $160.00
$156.00
Standard No: GB/T 35589-2017
Document status: VALID
Title in English: Information technology—Big data—Technical reference model
Title in Chinese: 信息技术 大数据 技术参考模型
Language: English
File Format: Electronic (PDF)
Delivery: Via email within 1~3 business days
Issued on: 2017-12-29
Implemented on: 2018-07-01
ICS Classification: 35.100.70-Application layer
Chinese Classification: L67-Computer application
Professional Classification: GB-National Standard
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《GB/T 35589-2017信息技术 大数据 技术参考模型》由TC28(全国信息技术标准化技术委员会)归口,主管部门为国家标准化管理委员会。


Introduction

1. Standard Overview

GB/T 35589-2017 "Information Technology Big Data Technical Reference Model" is my country's first national standard in the field of big data technology, which aims to provide a unified technical framework for the design, implementation and optimization of big data systems. This standard defines the Big Data Reference Architecture (BDRA) and clarifies its composition, roles and relationships between functional components.

2. Background of Standard Formulation

With the rapid development of big data technology, the industry's demand for standardization is becoming increasingly urgent. This standard was proposed by the National Information Technology Standardization Technical Committee and jointly drafted by a number of companies and universities. It aims to provide normative guidance for technology research and development, product development and system integration in the field of big data.

Comparison table of standard frameworks

Dimensions Information value chain Information technology value chain Big data application providers
Core values Data processing and knowledge extraction Information technology support and services Data life cycle operations
Key activities Data collection, preprocessing, analysis, visualization, access Infrastructure, platform, processing framework, communication, resource management Configuration and management, monitoring and optimization

3. Standard Implementation Recommendations

To ensure the efficient operation and security of big data systems, it is recommended in practical applications:

  • Clearly define the role of the system coordinator and allocate resources and tasks reasonably.
  • Establish a sound security and privacy protection mechanism to ensure the reliability of data transmission and storage.
  • Adopt a flexible resource management strategy to improve the scalability and responsiveness of the system.

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