T/QBDA 1001-2017 Active Group standards

T/QBDA 1001-2017 Big Data Standardization Framework V1.0。

Publish Date: 2017-09-23 Implement Date: 2017-10-01 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us

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Basic Information

Standard Code: T/QBDA 1001-2017

Standard Type: Group standards

Standard Status: Active

is_force_gb: no

CCS Name: Standardized management and general provisions

ICS Name: Comprehensive Application of Information Technology

Publish Date: 2017-09-23

Implement Date: 2017-10-01

Scope

Main Technical Content: The framework of the big data standard system integrates the domestic and international situation of big data standardization, the current development status of big data technology in China, the reference architecture and standardization requirements of big data, based on the full-cycle management of data, the standardization characteristics of data itself, the preliminary practices of big data applications in various fields, and the future development trend of big data, and formulates the framework of the big data standard system. The framework of the big data standard system includes five parts: 1. **Foundational Standards**: Provide basic standards for the entire standard system, including general principles, terminology, social models, and technical models. The general principles provide guidelines for big data standardization, and this standard is part of the general principles standards. The terminology defines the concepts of various elements of big data. The social model is a conceptual model of socialized relationships in the big data industry ecosystem that reflects the development, operation, and social value creation of big data, typically consisting of system coordinators, data providers, application providers, framework providers, and data consumers. The technical model defines the data lifecycle process in the big data system, which includes data collection, storage, management and processing, analysis and mining, presentation, and application. 2. **Technical Standards**: These standards mainly regulate key technologies related to big data, including data collection, processing, storage, analysis, presentation, and exchange. - **Data Collection**: Refers to the collection of data of different types and formats from a wide range of data sources and sending them to storage systems or data middleware systems for subsequent processing. - **Data Processing**: Includes two processes: preprocessing and processing. Prepro