Research on the Application of Spark Technology in Natural Resource Data Management
DOI:
https://doi.org/10.71222/4fkvw606Keywords:
Spark technology, natural resource data, distributed computing, data management, real-time processingAbstract
With the rapid growth of natural resource data and its complex structure, traditional data management technologies are facing numerous challenges, such as storage bottlenecks, difficulties in data integration, and insufficient processing efficiency. In this context, Spark, as a powerful distributed computing system, has shown great application prospects in the field of natural resource data management with its excellent in memory computing capabilities, real-time data processing capabilities, and outstanding scalability. This article explores the framework and significant advantages of Spark technology, and delves into its specific applications in natural resource data storage, real-time processing, modeling and analysis. It also explores how to enhance system performance and ensure information security through optimization strategies, in order to provide technical assistance and operational references for natural resource management practices.
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Copyright (c) 2025 Jialu Yan (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
