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Big Data Analytics in Cloud Platform
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Author(s): Sathishkumar S. (Adhiyamaan College of Engineering, Hosur, India), Devi Priya R. (Kongu Engineering College, Erode, India)and Karthika K. (Adhiyamaan College of Engineering, Hosur, India)
Copyright: 2021
Pages: 21
Source title:
Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing
Source Author(s)/Editor(s): Sathiyamoorthi Velayutham (Sona College of Technology, India)
DOI: 10.4018/978-1-7998-3111-2.ch010
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Abstract
Big data computing in clouds is a new paradigm for next-generation analytics development. It enables large-scale data organizations to share and explore large quantities of ever-increasing data types using cloud computing technology as a back-end. Knowledge exploration and decision-making from this rapidly increasing volume of data encourage data organization, access, and timely processing, an evolving trend known as big data computing. This modern paradigm incorporates large-scale computing, new data-intensive techniques, and mathematical models to create data analytics for intrinsic information extraction. Cloud computing emerged as a service-oriented computing model to deliver infrastructure, platform, and applications as services from the providers to the consumers meeting the QoS parameters by enabling the archival and processing of large volumes of rapidly growing data faster economy models.
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