T/CDAA 002-2023 Active Group standards

T/CDAA 002-2023 Multi-source heterogeneous data resource governance visualization development platform technical requirements

Publish Date: 2023-10-20 Implement Date: 2023-11-01 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/CDAA 002-2023

Standard Type: Group standards

Standard Status: Active

is_force_gb: no

CCS Name: -

ICS Name: Comprehensive Application of Information Technology

Publish Date: 2023-10-20

Implement Date: 2023-11-01

Pages: 16 pages

Scope

Scope: This standard specifies the overall architecture, visual modeling, visual service construction, and visual governance tools of a multi-source heterogeneous data resource governance visual development platform. This standard applies to multi-source heterogeneous data resource governance businesses in various industries, meeting the data governance needs of various industries in aspects such as data collection, processing, and storage of multiple data sources. Main technical content: The main content of this standard includes: a) Visual modeling. By using graphical drag-and-drop methods, the entire process of handling modeling tasks is generated, truly achieving "zero" coding. b) Visual service construction. It realizes centralized and unified management of various service resources, supports users to customize the construction of services and apply for service usage, and conducts quantitative operational evaluations of service performance, solving a series of problems such as "how services come into being," "how to build services," "how to manage services," and "how to make services user-friendly," providing users with a one-stop service resource operation platform. c) Visual data governance. It involves planning and design, process control, and quality supervision of the entire life cycle of data resources. Through standardized data governance, it can achieve transparency, manageability, and controllability of data resources, clarify data assets, improve the implementation of data standards, standardize data processing processes, enhance data quality, ensure safe data use, and promote data circulation and value extraction.