在DWH的不同阶段上可视化云——数据仓库即服务简介

H. Kaur, P. Agrawal, A. Dhiman
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引用次数: 9

摘要

云计算所确立的各种优势,即可伸缩性、敏捷性、自动化和资源共享,正在被当今具有前瞻性的业务领导者在其企业数据中心内加以利用。大规模的数据分析,当需要时,用户可以负担得起的价格,可以根据需要建立。本文提出了影响数据仓库应用云计算的体系结构,并分析了在传统数据仓库上实现云可视化的利弊。这项工作的重点是提供数据仓库即服务(DWH-aaS)的不同阶段,这一点最近引起了极大的关注。通过对一些流行的DWH云服务提供商所采用的架构级别的简要讨论来支持结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visualizing Clouds on Different Stages of DWH - An Introduction to Data Warehouse as a Service
Various Advantages that cloud computing has established, namely scalability, agility, automation and resource sharing are being utilized by today's forward-thinking business leaders within their enterprise data centre. Large-scale data analytics as and when needed, at the price user can afford can be established on demand. This paper presents architecture to affect cloud computing for Data Warehouse applications and thrashes out the pros and cons of visualizing cloud on traditional data warehousing. The emphasis in this work is on providing different stages of Data Warehouse as a service (DWH-aaS), which have recently gained a great deal of attention. Conclusion is supported with a brief discussion on level of architecture adopted by some popular DWH cloud service providers.
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