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Received:March 06, 2018 Revised:April 18, 2018
Received:March 06, 2018 Revised:April 18, 2018
中文摘要: 相对于软硬件一体的企业级数据仓库解决方案，以X86开放式硬件平台为基础的并行处理数据库和Hadoop/Spark生态体系，在扩展性和低成本方面有明显的优势，随着其不断发展成熟，已经成为企业级大数据平台不可或缺的一部分.本文从如何应对“大数据”所带来的挑战出发，提出一套适用于大型商业银行数据分析处理的融合大数据技术架构，并已取得应用实践的成功.
Abstract:Compared with traditional Enterprise Data Warehouse (EDW) solution having vendor lock-in risk on both hardware and software, Massive Parallel Processing (MPP) database and Hadoop/Spark ecosystem based on open hardware platform, like X86, have advantages on both scalability and low cost. And with the mature of these technologies, they become integral parts of enterprise-class big data platform. Based on how to deal with the challenges posed by "big data", this study proposes a fusion big data architecture suitable for data analysis and processing of large commercial banks, and has achieved the success of application practice.
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金磐石,朱志,沈丽忠.融合大数据技术架构在大型商业银行海量数据分析的应用.计算机系统应用,2018,27(10):46-53
JIN Pan-Shi,ZHU Zhi,SHEN Li-Zhong.Application of Fusion Big Data Architecture in Large Commercial Bank's Data Analysis Platform.COMPUTER SYSTEMS APPLICATIONS,2018,27(10):46-53
金磐石,朱志,沈丽忠.融合大数据技术架构在大型商业银行海量数据分析的应用.计算机系统应用,2018,27(10):46-53
JIN Pan-Shi,ZHU Zhi,SHEN Li-Zhong.Application of Fusion Big Data Architecture in Large Commercial Bank's Data Analysis Platform.COMPUTER SYSTEMS APPLICATIONS,2018,27(10):46-53
