基于Spring Batch+Gemfire+CXF的金融大数据集成和整合  

INTEGRATION AND CONSOLIDATION OF BIG FINANCIAL DATA BASED ON SPRING BATCH+GEMFIRE+CXF

作　　者：朱铮雄 黄宇青[2] Zhu Zhengxiong;Huang Yuqing(China Hedge Financial Holdings Co.,Ltd.,Shanghai 200120,China;Shanghai Institute of Computing and Technology,Shanghai 200040,China)

机构地区：[1]海际金控有限公司,上海200120 [2]上海市计算技术研究所,上海200040

出　　处：《计算机应用与软件》2020年第8期27-32,63,共7页Computer Applications and Software

摘　　要：传统跨国银行的巴塞尔风控系统,每天面临万亿级数据的海量金融数据整合。提升海量数据整合的效率、稳定和扩展能力已成为巴塞尔系统使用者的迫切需求。通过时下较为成熟、稳定、轻量级Spring batch+Gemfire+CXF系统框架,以面向服务模式重构整个业务处理系统。利用Spring Batch做高扩展、低耦合数据加载和计算,使用Gemfire做高速缓存以及CXF做数据接口发布。结果表明,该方法极大提升了系统运行效率、可靠性以及可扩展性,满足了巴塞尔风控系统中金融大数据整合的需求。The Basel risk control system of traditional multinational banks is faced with the integration of massive financial data with trillion-level data every day.How to improve the efficiency,stability and expansion of the massive data consolidation has become an urgent requirement for users of the Basel system.This paper tried to use the current stable,popular and lightweight Spring Batch+Gemfire+CXF framework to rebuild the entire business processing system in a service-oriented mode.We used Spring Batch to load and calculate data with high scalability and low coupling,used Gemfire as high-speed cache,and used CXF for data interface publishing.The results show that the method greatly improves the efficiency,reliability and scalability of the system.And it meets the demand of financial big data consolidation system in Basel risk management system.

关 键 词：金融大数据 数据整合 Spring Batch Gemfire CXF 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]