Abstract
The data resource of the aerospace enterprise have the problems of scattered data, multiple sources, inconsistent data, numerous interfaces, and inconsistent standard rules. It is necessary to carry out data governance work systematically. In order to improve the standardization of data governance work such as data classification, data sharing and data accountability of the aerospace enterprise, we research on the data resource directory system of the aerospace enterprise. We focus on the research of data resource directory standard, data resource inventory, and data resource directory framework. We introduce the application practice of the data resource directory system of the aerospace enterprise, which verifies the effectiveness and practicability of this system.
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Appendix A
Appendix A
Huawei Data Asset Directory Hierarchy
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(1)
Subject domain grouping: Classification of top-level information of the company, which reflects the business areas that the top-level company is concerned about through the data perspective.
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(2)
Subject Domain: A high-level classification of non-overlapping data used to manage its subordinate business objects.
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(3)
Business objects: Important people, things, and things in the business field, which carry important information related to business operation and management.
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(4)
Logical data entity: A combination of attributes with a certain logical relationship.
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(5)
Attribute: Describe the nature and characteristics of the business object to which it belongs, and reflect the minimum granularity of information management.
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Ma, Y., Ji, C., Fei, T., Duan, Z., Luo, J. (2022). Research and Application of the Data Resource Directory System of the Aerospace Enterprise. In: Hu, B., Xia, Y., Zhang, Y., Zhang, LJ. (eds) Big Data – BigData 2022. BigData 2022. Lecture Notes in Computer Science, vol 13730. Springer, Cham. https://doi.org/10.1007/978-3-031-23501-6_2
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DOI: https://doi.org/10.1007/978-3-031-23501-6_2
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