摘要
随着大数据时代的到来,如何有效处理和分析海量数据成为亟待解决的问题。文章提出了一个基于Hadoop的大数据云计算处理方案,通过深入理解大数据的特性和云计算的基本架构,设计和实施了包括Hadoop集群环境搭建、数据存储、MapReduce任务设计在内的一整套处理流程。特别是对数据处理的优化和安全性问题,进行了详细的研究和实践。期望通过这种基于Hadoop的大数据云计算处理方案,能够有效应对大数据处理的挑战,提高数据处理的效率和安全性。同时也为未来在数据处理优化、数据安全性等方面的研究提供了参考和启示。
With the arrival of the era of Big data,how to effectively process and analyze massive data has become an urgent problem.The article proposes a Hadoop based Big data cloud computing processing scheme.Through in-depth understanding of the characteristics of Big data and the basic architecture of cloud computing,a complete set of processing processes including Hadoop cluster environment building,data storage,and MapReduce task design were designed and implemented.In particular,this study conducted detailed research and practice on the optimization and security issues of data processing.It is expected that this Hadoop based Big data cloud computing solution can effectively meet the challenges of Big data processing and improve the efficiency and security of data processing.At the same time,it also provides reference and inspiration for future research in data processing optimization,data security,and other aspects.
作者
王子昱
Wang Ziyu(Suzhou Higher Vocational School,Suzhou 215000,China)
出处
《无线互联科技》
2023年第19期89-91,104,共4页
Wireless Internet Technology
基金
2022年苏州高职高专院校“产教融合、校企合作”教育改革研究课题
项目名称:基于现代学徒制“工匠工坊”教学模式实践研究——以云计算技术专业为例
项目编号:2022SZJG134。2023—2024年度江苏职业教育研究立项课题
项目名称:工匠工坊引领云计算人才培养改革研究
项目编号:XHYBLX2023232。
