电子信息系统中大数据分析与处理策略
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张旭
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锦州市互联网舆情监测中心，辽宁锦州，121000
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摘要：随着信息技术的飞速发展，电子信息系统在各领域产生海量数据，传统数据处理方法在实时性、准确性和价值挖掘深度上面临严峻挑战。为应对大数据环境下的信息处理瓶颈，本研究聚焦于电子信息系统中大数据分析与处理的关键策略。通过系统梳理现有技术框架，本研究构建了一个融合分布式存储、流式计算与智能算法的集成化处理模型。该模型强调对多源异构数据的实时采集与高效清洗，并引入改进的并行计算架构以优化处理流程。
关健词：大数据；电子信息系统；数据处理 |
Big data analysis and processing strategies in electronic information systems
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Xu Zhang
Jinzhou Internet Public Opinion Monitoring Center, Jinzhou Liaoning, 121000 , China
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Abstract：With the rapid development of information technology, electronic information systems generate massive amounts of data across various fields. Traditional data processing methods face severe challenges in terms of real-time performance, accuracy, and depth of value mining. To address the information processing bottleneck in the big data environment, this study focuses on key strategies for big data analysis and processing in electronic information systems. By systematically reviewing existing technical frameworks, this study constructs an integrated processing model that integrates distributed storage, stream computing, and intelligent algorithms. This model emphasizes real-time collection and efficient cleaning of multi-source heterogeneous data, and introduces an improved parallel computing architecture to optimize the processing flow.
Keywords : big data；electronic information system； data processing
参考文献
[1] 刘波, 张文锦, 胡成伟, 王子龙, 王辉. 云计算技术在计算机大数据分析中的运用[ J ] . 通讯世界.2026,(02):170-173.
[2] 郭福合. 大数据存储技术在电子信息工程中的应用[J]. 信息记录材料.2026,(04):194-200.
[3] 陶晶晶. 数字化时代大数据技术驱动会计信息质量的提升研究[J]. 销售与管理.2026,(05):136-146. |
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