期刊文献+

基于央行视角的分布式大数据技术应用探析 被引量:4

Research on the Application of Distributed Big Data Technology from the Aspect of China's Central Bank
下载PDF
导出
摘要 随着互联网时代的快速发展,人民银行传统的集中式信息系统架构已不能完全适应对业务需求的快速响应、敏捷开发和迅速部署,为提高业务连续性保障和数据利用能力,采用多节点并行运行、数据分布存储、动态负载均衡的分布式架构势在必行。本文基于某人民银行省级数据中心建设的"支付清算业务大数据分析平台",介绍了如何利用现有开源技术搭建一个分布式大数据平台,同时,为分布式大数据架构在人民银行应用提供可参考的建设思路。 With the rapid development of internet, the traditional architecture of centralized information system of PBC can't fit in with the rapid response, agile development and rapid deployment of business requirements. To ensure business continuity and improve data collection, adapting the distributed architecture of multi-nodes for parallel processing, distributed storage of data and dynamic load-balance is imperative. Based on the big data analysis platform of payment clearing operation constructed by a PBC provincial data center, this paper introduces how to set up a distributed big data platform by using the current open source technology and supplies the referenced constructing idea of applying the distributed big data architecture in PBC.
作者 李苏 LI Su(People's Bank of China, Hengyang Central Branch of science and technology, Hengyang 421001, Chin)
出处 《软件》 2018年第3期127-129,共3页 Software
关键词 分布式 大数据 HADOOP MAPREDUCE Distributed architecture Big data Hadoop MapReduce
  • 相关文献

参考文献9

二级参考文献58

共引文献94

同被引文献31

引证文献4

二级引证文献14

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部