基于大数据的交易日志分析系统的设计和实现  

Design and Implementation of Trading Log Analysis System Based on Big Data

作　　者：林滔 LIN Tao(Hezhou Public Resource Trading Center,Hezhou Guangxi 542899)

机构地区：[1]贺州市公共资源交易中心,广西贺州542899

出　　处：《软件》2024年第5期58-60,共3页Software

摘　　要：为更好地构建统一管理的数据仓库,对交易日志分析范围内的所有相关应用软件提供统一的数据服务,本文应用大数据技术,完成对交易日志分析系统的设计和实现,并在SimuWorks平台下使用25个交易平台近1年的真实日志数据进行数据模拟,研究交易日志分析数据的准确率。结果表明,数据交易日志分析系统下的新方案可节约超过85%的数据仓库硬件设施,提升约82.7%的日志分析数据的准确率。因此,基于数据的交易日志分析系统具有较强的使用价值,日志分析数据读写响应时间也得到了显著提升。In order to better build a unified management data warehouse and provide unified data services for all relevant application software within the scope of transaction log analysis,this article applies big data technology to complete the design and implementation of a transaction log analysis system,and uses real log data from 25 transaction platforms over the past year for data simulation on the SimulWorks platform to study the accuracy of transaction log analysis data.The results show that the new solution under the data transaction log analysis system can save over 85% of data warehouse hardware facilities and improve the accuracy of log analysis data by about 82.7%.Therefore,data-driven transaction log analysis systems and the response time for log analysis data reading and writing has also been significantly improved.

关 键 词：大数据 数据仓库 数据模拟 交易日志分析 硬件设施 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]