摘要
论文主要探索大数据技术在金融行业数据中心IT运维中的应用。通过有效地挖掘运维数据中存在的规律和模型,预测和预防未来运行中断、性能差等问题,并对未来资源容量、使用情况进行预测及合理规划,提高故障发生后的快速响应能力,加强科技风险的主动预知能力,从而提升整体科技运维服务水平。
This paper mainly explores the application of big data technology in the IT operation and maintenance of the data center of the financial industry.By effectively mining the rules and models existing in the operation and maintenance data,it helps to predict and prevent future operation interruption and performance problems. And the ability of quick response after obstacles can enhance the initiative prediction ability of scientific and technological risks,so as to enhance the overall level of science and technology operation and maintenance service.
作者
杨松
张毅
薛宝明
YANG Song,ZHANG Yi,XUE Baoming(Jiangsu Rural Credit Union,Nanjing 210000,China)
出处
《现代信息科技》
2018年第7期99-100,102,共3页
Modern Information Technology
关键词
大数据
数据挖掘
IT运维
金融数据中心
big data
data mining
IT operation and maintenance
financial data center