Research on Application of Electromagnetic Environment Data Warehouse Based on Big Data

The widespread use of electromagnetic space utilization technology across various fields—including maritime, terrestrial, aeronautical, orbital, electrical, and telecommunications—has generated vast amounts of electromagnetic environment data. To manage challenges, such as the storage of large raw datasets, data discrepancies, isolated data across multiple pathways, and low data value density, a big data-based electromagnetic environment data warehouse is proposed. This warehouse standardizes data from diverse sources, integrates and reconstructs it according to business themes, and uses a mix of relational and non-relational databases for storage. It meets the needs for high data reliability, fast access, and massive storage capacity, offering a solution to data overload while supporting data mining and knowledge discovery in the electromagnetic field.

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Publication Details

Journal
International Journal of Data Warehousing and Mining
Published
2025-04-26
DOI
https://doi.org/10.4018/ijdwm.373715
Primary Topic
Big Data Technologies and Applications
Type
article
Field-Weighted Citation Impact
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article

Research on Application of Electromagnetic Environment Data Warehouse Based on Big Data

Jie Wang, Zhongkang Li, Liping Zhou
International Journal of Data Warehousing and Mining
Big Data Technologies and Applications
article

Research on Application of Electromagnetic Environment Data Warehouse Based on Big Data

Jie Wang, Zhongkang Li, Liping Zhou
article en

Abstract

The widespread use of electromagnetic space utilization technology across various fields—including maritime, terrestrial, aeronautical, orbital, electrical, and telecommunications—has generated vast amounts of electromagnetic environment data. To manage challenges, such as the storage of large raw datasets, data discrepancies, isolated data across multiple pathways, and low data value density, a big data-based electromagnetic environment data warehouse is proposed. This warehouse standardizes data from diverse sources, integrates and reconstructs it according to business themes, and uses a mix of relational and non-relational databases for storage. It meets the needs for high data reliability, fast access, and massive storage capacity, offering a solution to data overload while supporting data mining and knowledge discovery in the electromagnetic field.

International Journal of Data Warehousing and MiningVol. 21(1)
Qingdao University (CN), Xiamen University (CN), China Electronics Corporation (China) (CN), Qingdao Women and Children's Hospital (CN)
Openalex Percentile: Top 91%
Big Data Technologies and Applications
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