摘要
针对商业银行数字化转型中算力瓶颈等问题,基于算力平台升级需求分析和平台能力评估,将原有大数据平台从单一数仓架构升级为具备多模数据处理与存储能力的实时湖仓一体结构,全面满足"一仓N平台N集市"建设要求,并在架构设计、项目管理与能力评估、软硬件升级、应用成效等多个方面进一步探索商业银行大数据平台算力升级路径,为商业银行大数据平台建设提供参考.
Abstract
In response to the bottleneck of computing power in the digital transformation of commercial banks,based on the analysis of computing power platform upgrade needs and platform capability evaluation,the original big data platform has been upgraded from a single data warehouse architecture to a real-time lake warehouse integrated structure with multi-mode data processing and storage capabilities,fully meeting the requirements of"one warehouse,N platforms,N markets"construction.Furthermore,the path of computing power upgrade for commercial bank big data platforms has been further explored in multiple aspects such as architecture design,project management and capability evaluation,software and hardware upgrades,and application effectiveness,providing reference for the construction of commercial bank big data platforms.
NETL
NSTL
维普
万方数据