汽车企业的大数据分析模型研究与实现  

Research and Implementation of Big Data Analysis Model for Automobile Enterprises

作　　者：王文斌[1] Wang Wenbin(China Automotive Technology and Research Center Co., Ltd., Tianjin 300000, China)

机构地区：[1]中国汽车技术研究中心有限公司

出　　处：《信息与电脑》2019年第14期149-151,共3页Information & Computer

摘　　要：目前,中国已发展成为全世界最大的汽车市场,汽车电动化、互联化、共享化和智能化成为行业未来发展的核心。在四化大背景下,传统车企、新进势力纷纷推出各类车型,抢占发展先机。监控各类实时运行数据成为国家安全管控的必要手段。基于此,通过调整传统Hbase+ElasticSearch技术路线,增加索引、底层计算等技术,建立符合汽车企业大数据特点的存储和分析模型。At present, China has developed into the world's largest automotive market, and automotive electrification, interconnection, sharing and intelligence become the core of the future development of the industry. Under the background of modernization, traditional automobile enterprises and new forces have launched various types of vehicles to seize the development opportunities. Monitoring all kinds of real-time operation data has become a necessary means of national security management and control. Based on this, by adjusting the traditional Hbase + Elastic Search technology route, adding indexing, underlying computing and other technologies, a storage and analysis model that meets the characteristics of large data of automobile enterprises is established.

关 键 词：大数据分析 企业系统 底层计算 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] F426.471[自动化与计算机技术—计算机科学与技术]