摘要
随着大数据技术的不断发展及应用,提高大数据分析与处理能力,是提高大数据分析平台应用价值的关键。大数据分析平台建设,需要完善的架构体系,以满足功能体系的需求。大数据分析平台建设,是信息时代的发展需求,也是实现海量信息分析处理的重要载体,具有重要的现实意义。笔者立足4种主流大数据分析架构,阐述了架构的共性及差异性,并从大数据分析平台的应用构建、大数据分析平台的功能体系生成几方面提出了几点建议,希望能够为相关研究提供借鉴。
With the continuous development and application of big data technology,improving the ability of big data analysis and processing is the key to improving the application value of big data analysis platform.The construction of big data analysis platform needs perfect architecture system to meet the needs of functional system.The construction of big data analysis platform is not only the development demand of the information age,but also the important carrier to realize the massive information analysis and processing,which has important practical significance.Based on the four mainstream big data analysis architectures,the author expounds the commonness and differences of the architectures,and puts forward several suggestions from the application construction of big data analysis platform and the generation of function system of big data analysis platform,hoping to provide reference for relevant research.
作者
杨小玲
Yang Xiaoling(Armen Police Inner Mongolia Corps,Hohhot Inner Mongolia 010020,China)
出处
《信息与电脑》
2020年第9期36-37,共2页
Information & Computer
关键词
大数据分析
平台建设
应用
big data analysis
platform construction
application