International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume4,December 2017,

Topic : A Review of Advantages and Limitations of Cloud Centric Analytics

Authors:Richa Mehra || Deepak Agarwal

Abstract:Cloud analytics signifies any Data Analytics or Business Intelligence process that is performed in collaboration with a cloud service provider. Cloud-based business intelligence arrived soon after the first wave of cloud applications but several early pioneers -- LucidEra, Oco, PivotLink -- didn't survive. Fears about putting data in the cloud were among the early impediments to success. Now that mission-critical apps and sensitive corporate data are increasingly moving online, it makes sense that cloud- based analytics and BI platforms are gaining customers. Cloud Analytics is a Cloud based service model which comprises of the elements of the data analytics process are provided by a public or a private cloud. Various applications and services of Cloud Analytics are being offered under a subscription-based or pay-per-use model, which is also known as Software as a Service (SaaS)- based business intelligence (BI). Cloud analytics is a cloud-enabled solution which allows an organization or individual to carry out business analysis or intelligence procedures. These solutions and services are provided through various cloud models, such as hosted data warehouses, SaaS business intelligence (BI) and social media analytics products powered by the cloud. Cloud analytics services and a typical data analytics service, both are the same in features and capabilities. But the cloud analytics integrates some or all of the service models of cloud computing in delivering that solution. [1][2]..

Keywords: Cloud Analytics, Cloud Analytics Tools, Cloud BI, SaaS Business Intelligence.

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DOI: 01.1617/vol4/iss12/pid80942


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Dr. Allon Guez
Professor, Drexel University,
USA


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Journal Code : IJERCSE
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