Abstract: Big Data is a data investigation method empowered by late advances in technologies and engineering. Big data involves an enormous amount of hardware equipment and preparing resources, making adoption expenses of big data methodology restrictive to small and medium organizations. Cloud Computing offers the potential of big data execution to small and medium sized organizations.
Big Data processing is performed through a programming methodology known as MapReduce. Often, execution of MapReduce methodology requires networked appended storage and parallel processing. The computing requirements of MapReduce programming are frequently past what small and medium sized organizations are able to commit.
Cloud Computing is on-request network access to figuring assets, given by an outside entity. Basic deployment models for cloud computing incorporate platform as a service (PaaS), hardware as a service (HaaS), software as a service (SaaS), and infrastructure as a service (IaaS).
The three sorts of cloud computing are the private cloud, hybrid cloud and public cloud. A private cloud is internal data center of an organization not accessible to the general population but rather takes into account cloud structure. A public cloud is the pay-as-you-go service. The hybrid cloud is a mix of the private cloud and general public cloud.
Three noteworthy explanations behind small to medium sized organizations to utilize cloud computing for big data methodology execution are reduction in hardware cost, processing cost reduction, and capacity to test the estimation of big data. The significant concerns with respect to cloud computing are security and loss of control.
Keywords: Cloud computing, big data, private cloud, hybrid cloud, public cloud.
Title: Big Data with Cloud Computing
Author: Shubhavi Arya
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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