Towards building an analytics platform in the cloud

V. Salapura, K. Beaty, A. Bivens, Minkyong Kim, Min Li
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引用次数: 1

Abstract

Recently enterprises have been able to leverage two revolutionary new tools for gaining a competitive advantage for their business -- cloud computing and analytic applications. Cloud computing unburdens them from running and maintaining their compute resources, whereas analytic applications comb through their big data to provide new insights for a competitive advantage in the market. Analytic applications are carefully tailored to their target problems. While there is a lot of work published on both the mechanics of cloud computing as well as analytic methods for distilling insights from a variety of data, there is little work available about the cloud influence on the analytics platforms which aim at lowering the barrier for the creation, deployment, scaling and maintenance of next generation analytic workloads. This paper discusses the challenges we are facing today in order to provide an analytics platform to reduce cost and increase performance of analytics applications in the cloud computing environment.
朝着在云端构建分析平台的方向迈进
最近,企业已经能够利用两个革命性的新工具来为他们的业务获得竞争优势——云计算和分析应用程序。云计算减轻了他们运行和维护计算资源的负担,而分析应用程序则梳理他们的大数据,为在市场上的竞争优势提供新的见解。分析应用程序是针对其目标问题精心定制的。虽然在云计算机制和从各种数据中提取见解的分析方法方面发表了大量的工作,但关于云对分析平台的影响的工作很少,这些分析平台旨在降低下一代分析工作负载的创建、部署、扩展和维护的障碍。本文讨论了我们今天所面临的挑战,以便提供一个分析平台来降低云计算环境中分析应用程序的成本和提高性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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