T/GDMA 4-2019 Active Group standards

T/GDMA 4-2019 Technology Big Data Platform Data Warehouse Development Guideline

T/GDMA 4-2019 Technology Big Data Platform Data Warehouse Development Guideline

Publish Date: 2019-12-05 Implement Date: 2019-12-31 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/GDMA 4-2019
Standard Type: Group standards
Standard Status: Active
is_force_gb: no
CCS Name: Electronic components and information technology
ICS Name: Software development and system files
Publish Date: 2019-12-05
Implement Date: 2019-12-31

Scope

Scope: This standard specifies the processes and standards that should be followed in all phases of the development of data warehouses for science and technology big data platforms. This standard applies to the heads of information centers based on data warehouses in the Guangdong Provincial Department of Science and Technology and the corresponding development/operation and maintenance vendors. Main technical content: The overall approach of this standard is to stipulate the requirements and norms for all phases of the development of data warehouses in the Department of Science and Technology, including the processes and standards to be followed in the architectural design, development, operation and maintenance, and delivery phases of data warehouses, to ensure the normal progress of data warehouse development. 1. Scope This standard mainly involves the technical design work in the implementation process of data warehouses, data warehouse development, and related content of data warehouse operation and maintenance. This standard mainly includes the following content: the organizational structure and corresponding responsibilities of personnel involved in the development of data warehouses; and the processes and standards for each phase of the implementation of data warehouses. 2. General Principles The data warehouse of the Department of Science and Technology is an enterprise-level data platform of the Department of Science and Technology. Based on the integration of source data from related business systems of the Department of Science and Technology, it provides basic data support for subordinate data markets and applications such as analysis and statistics, and data mining. Therefore, the data warehouse is the foundation and core for showcasing the Department of Science and Technology's data assets and providing data services. The success of data warehouse construction is mainly reflected in whether it can provide a comprehensive, stable, and centr

Development Information

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