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- W4226365778 abstract "This paper projects an overview of how cloud-based analytical tools can provide for varied purposes of data aggregation and analytics. Analytics-as-a-service is a forthcoming facility, extensively provided through multiple vendors. The aim is to elucidate which tools can serve better in what sort of data sources. As cloud computing has garnered much-needed growth in terms of data generation, there is a huge opportunity to explore the generated data. IT firms invest in creating, managing, and lending storages to handle this volume; it also challenges analyzing the data relevantly and effectively. It has called for an intelligent analysis of data and its storage in a sustainable and regulated environment. While various methods are employed to mine this heap of data, the industry is looking for newer technologies that can increase the rate at which they can analyze the data.KeywordsCloud computingCloud analyticsBig dataReal-time cloud analyticsAnalytics-as-a-service" @default.
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- W4226365778 date "2022-01-01" @default.
- W4226365778 modified "2023-09-24" @default.
- W4226365778 title "Cloud Analytics: An Outline of Tools and Practices" @default.
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- W4226365778 doi "https://doi.org/10.1007/978-981-16-9873-6_2" @default.
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