基于Hadoop的海量工程数据处理技术研究  

Research on Massive Engineering Data Processing Technology Based on Hadoop

作　　者：郭雅婷 龚道文 李茜[1] GUO Yating;GONG Daowen;LI Qian(Unit 75841,People̓s Liberation Army,Changsha 411100,China)

机构地区：[1]中国人民解放军75841部队,长沙411100

出　　处：《移动信息》2024年第10期282-284,共3页Mobile Information

摘　　要：随着信息技术的快速发展,工程领域中产生的数据量也在爆炸性增长。这些海量数据的有效处理和分析对工程决策、优化和创新至关重要。作为一种开源的分布式存储和计算框架,Hadoop以其高可靠性、高扩展性和高效性,成为处理大规模数据的首选技术。文中探讨了基于Hadoop的海量工程数据处理技术,分析了其在工程数据处理中的应用优势和面临的挑战,并提出了相应的优化策略,揭示了Hadoop在处理工程数据中的潜力和局限,为工程领域的数据处理提供了新的视角和方法。With the rapid development of information technology,the data volume generated in engineering domain is also exploding.The valid processing and analysis of these massive data is crucial for engineering decision,optimization and innovation.As an open source distribution storage and computing framework,Hadoop has become the preferred technology for processing large-scale data due to its high reliability,high scalability and efficiency.This paper discusses the massive engineering data processing technology based on Hadoop,analyzes its application advantages and challenges in engineering data processing,and proposes corresponding optimization strategies,reveals the potential and limitations of Hadoop in processing engineering data,and provides a new perspective and method for data processing in engineering domain.

关 键 词：HADOOP 海量数据 工程数据处理 分布式计算 数据分析 

分 类 号：TP274.2[自动化与计算机技术—检测技术与自动化装置]