Moving Business Intelligence to cloud environments

Adrian Juan Verdejo, Bholanathsingh Surajbali, H. Baars, H.-G. Kemper
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引用次数: 12

Abstract

Business Intelligence systems use information technology to supply integrated management support with data coming from several sources of structured and unstructured data. The integrated infrastructures of Business Intelligence (BI) are often too complex and hence costly and inflexible. A solution for these issues is to leverage cloud computing services to enhance legacy BI systems and applications with cost-efficient increased scalability and flexibility. However, the migration of BI systems to cloud environments is usually hindered by strict requirements regarding privacy, security, or availability and a multitude of interdependences with other systems. In this paper, we describe the challenges in the adoption of BI within cloud environments and propose a cloud migration framework to assist decision makers in taking into account the consequences of the migration of BI systems to cloud environments as well as the impact of privacy, security, cost, and performance in so doing.
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将商业智能迁移到云环境
商业智能系统使用信息技术为来自多个结构化和非结构化数据源的数据提供集成管理支持。商业智能(BI)的集成基础设施通常过于复杂,因此成本高昂且不灵活。这些问题的解决方案是利用云计算服务,以经济高效的可伸缩性和灵活性增强遗留BI系统和应用程序。然而,BI系统向云环境的迁移通常受到隐私、安全性或可用性方面的严格要求以及与其他系统的大量相互依赖性的阻碍。在本文中,我们描述了在云环境中采用商业智能的挑战,并提出了一个云迁移框架,以帮助决策者考虑将商业智能系统迁移到云环境的后果,以及在此过程中对隐私、安全、成本和性能的影响。
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