大数据系统中的软件工程管理方法  

Software Engineering Management Methods in Big Data System

作　　者：孙迎军 Sun Ying-jun(Jiangsu Longhoo Network Information Technology Co.,Ltd.,Nanjing 210001,Jiangsu Province,China)

机构地区：[1]江苏龙虎网信息科技股份有限公司,江苏南京210001

出　　处：《科学与信息化》2021年第24期28-30,共3页Technology and Information

摘　　要：现如今我们正生活在大数据时代下,大数据与我们的日常生活、工作、学习等有着密切的关联性,不但如此,随着大数据的迅速发展,其开始融入各个领域中,而这就包括应用软件,正是因为大数据所具有的广泛性、灵活性等特征,所以才导致其在开发期间遇到重重困难。对此,为了有效改善软件开发期间所面临的资源共享、生命周期等问题,就需要加强对大数据系统中软件工程管理问题的重视,旨在通过加强软件工程管理,提高数据库的安全性、稳定性,达到高效管理的目的。At present we are living in the era of big data,which is closely related to our daily life,work,study and other issues.In addition,with the rapid development of big data,it has been integrated into various fields,including application software.Due to the extensiveness and flexibility of big data,it encounters numerous difficulties during development.For this reason,in order to effectively improve the resource sharing,life cycle and other issues faced during software development,it is necessary to strengthen the attention to software engineering management issues in the big data system,aiming to improve the security and stability of the database by strengthening software engineering management,thus achieving the purpose of efficient management.

关 键 词：大数据系统 软件工程 模式架构 管理方法 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]