T/CQCBDS 0038-2021 Active Group standards

T/CQCBDS 0038-2021 Data warehouses are suitable for online processing standards in the real estate industry

Publish Date: 2021-04-30 Implement Date: 2021-08-01 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/CQCBDS 0038-2021

Standard Type: Group standards

Standard Status: Active

is_force_gb: no

CCS Name: Computer applications

ICS Name: Comprehensive Application of Information Technology

Publish Date: 2021-04-30

Implement Date: 2021-08-01

Scope

Scope: This standard ——specifies the data warehouse model and the design and application requirements in the real estate industry. ——It is not applicable to any enterprises or individuals who have already made full preparations for data security and customer privacy in data collection, storage, and use. The technical content of this standard unconditionally meets the relevant technical requirements for national data security and customer privacy that have been or will be issued; if the technical content cannot meet the requirements, the relevant provisions of this standard shall be automatically repealed. Main technical content: The data warehouse model specified in this standard, as well as its design requirements and application methods, are not applicable to any enterprises or individuals who have already made full preparations for data security and customer privacy in data collection, storage, and use. The technical content of this standard unconditionally meets the relevant standards for national data security and customer privacy that have been or will be issued; if the technical content of this standard cannot meet the requirements, the relevant provisions of this standard shall be automatically repealed. This standard includes the data warehouse model and its design and application requirements in the real estate industry, with the aim of achieving unified data metrics, a closed-loop decision-making process for data, improving data query speed, enhancing data utilization efficiency, and assisting enterprises in improving their data centers.