大数据技术下的流数据处理框架构建研究  

Research on the Construction of Streaming Data Processing Framework Under Big Data Technology

作　　者：邹威 罗小刚 周亮 ZOU Wei;LUO Xiaogang;ZHOU Liang(Geely University of China,Chengdu,Sichuan Province,641423 China)

机构地区：[1]吉利学院,四川成都641423

出　　处：《科技资讯》2024年第18期36-38,共3页Science & Technology Information

摘　　要：在大数据技术快速发展的背景下,流数据已成为了一个不可忽视的重要领域。由于流数据具有实时性、突发性、无序性、易失性和无限性等多重特性,传统的分布式计算机系统在处理数据时倍感压力。面对这样的挑战,流计算技术的出现成为了解决之道,其能够针对海量的、来自不同数据源的流数据进行实时、高效的分析和处理,满足现代数据处理的需求。基于此,将对流数据处理框架的建设进行深入研究,以大数据技术为基础给出常用的处理框架,以期为提高数据处理水平提供相关参考。In the context of the rapid development of Big Data technology,streaming data has become an impor-tant field that cannot be ignored.Streaming data has multiple characteristics such as real-time,burst,disorder,vola-tility,and infinity,which make traditional distributed computer systems feel pressure when processing data.Faced with such challenges,the emergence of Streaming Computing technology has become the solution.It can perform real-time and efficient analysis and processing of massive streams of data from different sources,meeting the needs of modern data processing.Based on this,in-depth research will be conducted on the construction of streaming data processing frameworks,and commonly used processing frameworks will be provided based on Big Data tech-nology,in order to provide relevant references for improving data processing levels.

关 键 词：大数据技术 流数据 处理框架 流计算技术 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]