T/GDMA 4-2018 Guidelines for the Development of Data Warehouses on Science and Technology Big Data Platforms
T/GDMA 4-2018
Basic Information
Scope
Scope: This standard specifies the processes and standards that should be followed in all phases of the development of data warehouses for scientific and technological big data platforms. This standard is applicable to the heads of information centers based on data warehouses of the Guangdong Provincial Department of Science and Technology and the corresponding development/operation and maintenance vendors in Guangdong Province; Main technical content: The overall idea 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 that should be followed in the phases of architecture, design, development, operation and maintenance, and delivery 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 the content related to data warehouse operation and maintenance and development. This standard mainly includes the following content: the organizational structure and corresponding responsibilities of data warehouse development personnel; the processes and standards of each phase of data warehouse implementation. 2. General Provisions 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 marts 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 comprehensi