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Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
Open Access
Research on Efficient Data Warehouse Construction Methods for Big Data Applications
Chenggang Zhao
Chenggang Zhao
School of Information Science and Technology, Qingdao University of Science and Technology
Qingdao, China
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Zhao, Chenggang
,
Junwei Du
Junwei Du
School of Information Science and Technology, Qingdao University of Science and Technology
Qingdao, China
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Du, Junwei
,
Furong Wang
Furong Wang
Gaomi Campus, Qingdao University of Science and Technology
Weifang, China
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Wang, Furong
and
Haojie Li
Haojie Li
School of Information Science and Technology, Qingdao University of Science and Technology
Qingdao, China
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Li, Haojie
Nov 14, 2024
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
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Published Online:
Nov 14, 2024
Received:
Jul 06, 2024
Accepted:
Oct 10, 2024
DOI:
https://doi.org/10.2478/amns-2024-3275
Keywords
MySQL
,
Data scheduling algorithm
,
Data execution
,
Hadoop
,
Data warehouse
© 2024 Chenggang Zhao et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
