首页> 外文会议>Symposium of Risk Analysis and Risk Management in Western China >Analysis and Management of Big Data Financial Risk
【24h】

Analysis and Management of Big Data Financial Risk

机译:大数据财务风险分析与管理

获取原文

摘要

In recent years, people have improved the ability of data acquisition, storage, analysis and utilization, and big data comes into being. Big data include large capacity structured, semi - structured and unstructured data that is difficult to store, analyze and manage in general database software or computer. Characteristics of big Data can be summarized as four Vs, volume, variety, velocity and value. Big data has great potential in the financial sector. Big data finance brings many conveniences to the financial industry, but at the same time, there are some risks and defects. This paper analyzes the risk of big data finance, and puts forward some strategies.
机译:近年来,人们改善了数据采集,储存,分析和利用的能力,大数据存在。大数据包括大容量结构化,半结构化和非结构化数据,难以存储,分析和管理在一般数据库软件或计算机中。大数据的特征可以总结为四个VS,体积,品种,速度和值。大数据在金融部门具有巨大潜力。大数据融资为金融业带来了许多便利,但同时,存在一些风险和缺陷。本文分析了大数据融资的风险,并提出了一些策略。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号