Research on multivariate data integration method based on ETL
Chuyan Feng, Wei Wu, Huimin Ren, Xiangyu Han, Xin Tong · Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022) · 2022
With the rapid development of modern aerospace technology, traditional aerospace experiment data integration methods have problems such as low automation, poor adaptability, and time-consuming for the increasing application requirements. Aiming at the shortcomings of traditional integration methods in terms of time performance, this paper conducts a comprehensive analysis and locates the crux, analyzes data integration needs, and proposes a multivariate data integration method based on ETL, uses concurrent multivariate data collection technology, unstructured data preprocessing technology and standardized data loading technology, carries out the architecture design of the data integration system, and verifies the practical effect of the data integration method. Engineering practice shows that this method can greatly improve the performance of system data integration and greatly improve the efficiency of experiment data processing.