T/CDAA 001-2023 Active Group standards

T/CDAA 001-2023 Visualization development platform technology requirements for multi-source heterogeneous data resource governance

Publish Date: 2022-05-10 Implement Date: 2022-05-11 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 001-2023

Standard Type: Group standards

Standard Status: Active

is_force_gb: no

CCS Name: -

ICS Name: Comprehensive Application of Information Technology

Publish Date: 2022-05-10

Implement Date: 2022-05-11

Scope

Scope: This standard specifies the overall architecture, visual modeling, visual service construction, and visual governance tools of the visual development platform for multi-source heterogeneous data resource governance. This standard applies to multi-source heterogeneous data resource governance businesses in various industries, meeting the data governance needs of various industries in terms of data collection, processing, storage, and other aspects. Main technical content: The main content of this standard includes: a) Visual modeling. By using a graphical drag-and-drop method, the entire process of handling modeling tasks is generated, truly achieving "zero" coding. b) Visual service construction. It realizes the centralized and unified management of various service resources, supports users to customize the construction of services and apply for service use, and conducts quantitative operational evaluations of service performance, solving a series of problems such as "how to obtain services," "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 the planning, design, process control, and quality supervision of the entire life cycle of data resources. Through standardized data governance, transparency, manageability, and controllability of data resources can be achieved, clarifying data assets, improving the implementation of data standards, standardizing data processing processes, enhancing data quality, ensuring safe data use, and promoting data circulation and value extraction.