本文旨在采用负载均衡技术及虚拟机技术,解决目前高校选课系统存在的服务器瓶颈压力。该系统前端采用开源的负载均衡软件HAProxy,后端应用Windows Server 2008 R2中的Hyper-V虚拟机技术,部署了校园选课负载均衡系统。通过合理配置HAProxy的策略,使访问流量得以均衡分配,达到了预期目的。
介绍一种利用数据挖掘技术建立顾客分类分析的挖掘模型。主要介绍了基于Microsoft SQL SERVER Analysis Services(SSAS)的聚类分析算法,以及SSAS聚类分析算法在对某销售信息进行顾客分组分析中的应用,通过分析聚类分析算法挖掘模型所发现的模式,得出了对顾客分类的结果,为销售公司管理层的营销决策提供有力的参考和辅助。
为满足数智化时代企业对会计人才的需求,对会计学专业学生大数据财务分析能力的提升尤为重要和迫切。该研究以应用型本科院校会计学专业学生为对象,依托实验室开放项目,将商业智能技术(Business Intelligence, BI)引入财务分析,以企业财务报表分析为核心,结合产教融合的丰富案例,采取项目驱动、任务分解的方式,全面系统地设计项目任务进行实践训练,实现会计学专业学生大数据财务分析能力的提升,探索新财经专技结合背景下会计学专业教学改革与专业建设的新思路。To meet the demand for accounting talents in the era of digitalization, it is particularly important and urgent to enhance the big data financial analysis ability of accounting students. This study focuses on accounting students in applied undergraduate colleges, and relies on open laboratory projects to introduce Business Intelligence (BI) technology into financial analysis. With enterprise financial statement analysis as the core and rich cases of industry education integration, the study adopts a project driven and task decomposition approach to comprehensively and systematically design project tasks for practical training, achieving the improvement of accounting students’ big data financial analysis ability and exploring new ideas for accounting teaching reform and professional construction under the background of new financial and economic technology integration.
