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Big Data and Cloud Computing:New Wine or just New Bottles?

机译:大数据和云计算:是新酒还是新瓶?

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Cloud computing is an extremely successful paradigm of service oriented computing and has revolutionized the way computing infrastructure is abstracted and used. Three most popular cloud paradigms include: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The concept however can also be extended to Database as a Service and many more. Elasticity, pay-per-use, low upfront investment, low time to market, and transfer of risks are some of the major enabling features that make cloud computing a ubiquitous paradigm for deploying novel applications which were not economically feasible in a traditional enterprise infrastructure settings. This has seen a proliferation in the number of applications which leverage various cloud platforms, resulting in a tremendous increase in the scale of the data generated as well as consumed by such applications. Scalable database management systems (DBMS) - both for update intensive application workloads, as well as decision support systems for descriptive and deep analytics- are thus a critical part of cloud infrastructures.
机译:云计算是面向服务的计算的极为成功的范例,它彻底改变了计算基础架构的抽象和使用方式。三种最受欢迎​​的云范例包括:基础架构即服务(IaaS),平台即服务(PaaS)和软件即服务(SaaS)。但是,该概念也可以扩展到数据库即服务等。弹性,按使用量付费,前期投资少,上市时间短和风险转移是使云计算成为部署新型应用程序的普遍模式的一些主要支持功能,这些模式在传统企业基础架构设置中在经济上是不可行的。这已经见证了利用各种云平台的应用程序数量的激增,导致此类应用程序生成和使用的数据规模大大增加。因此,可扩展的数据库管理系统(DBMS)–用于更新密集型应用程序工作负载,以及用于描述性和深度分析的决策支持系统–是云基础架构的关键部分。

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