GB/T 35295-2017 in English
VALIDInformation technology—Big data—Terminology
- Issued on:2017-12-29
- Implemented on:2018-07-01
- File Format:PDF
- Delivery:Via email within 1~3 business days
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《GB/T 35295-2017信息技术 大数据 术语》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 35295—2017 "Terms of Big Data in Information Technology" is the first national standard of the People's Republic of China for the field of big data, which aims to unify and standardize the definition and application of big data related terms. This standard is proposed and managed by the National Technical Committee for Information Technology Standardization, covering the core concepts of big data, application field terms and closely related general terms.
2. Analysis of core terms of big data
| Terms | Definition | Application scenarios |
|---|---|---|
| Big Data | A collection of data with huge volume, diverse sources, extremely fast generation and variability. | It is widely used in financial risk control, medical data analysis, social network mining and other fields. |
| Data Lifecycle | A series of processes from raw data to actionable knowledge. | Enterprise data management, scientific data analysis and other scenarios. |
| Big Data Reference Architecture | A conceptual model used to describe the inherent requirements and logical functional components of a big data system. | Guide the architectural design and implementation of big data systems. |
3. Comparative Analysis of Big Data Frameworks
The following is a comparative analysis of three typical big data frameworks:
| Framework Type | Features | Applicable Scenarios |
|---|---|---|
| Infrastructure Framework | A collection of functional components based on network, computing, storage, and environment. | Infrastructure design that supports large-scale data processing. |
| Data Platform Framework | A collection of logical data organization and distribution combined with application programming interfaces. | Enterprise-level data management and analysis platform. |
| Processing Framework | A collection of infrastructure software that supports the implementation of big data applications. | Real-time data analysis, streaming data processing, and other fields. |
4. Implementation Suggestions
In order to effectively implement the GB/T 35295-2017 standard, it is recommended to start from the following aspects:
- Standardized terminology management:Establish a unified terminology library to ensure consistent understanding of big data related terms within the organization.
- Framework selection:Choose the appropriate big data reference architecture and processing framework according to specific needs.
- Data governance:Develop a complete data governance strategy to cover the full life cycle management of data.
- Technical training: Strengthen the training of big data related technologies and tools to enhance the professional capabilities of technical personnel.
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