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Architecture for Big Data Storage in Different Cloud Deployment Models

Architecture for Big Data Storage in Different Cloud Deployment Models

Chandu Thota, Gunasekaran Manogaran, Daphne Lopez, Revathi Sundarasekar
Copyright: © 2021 |Pages: 31
ISBN13: 9781799853398|ISBN10: 179985339X|EISBN13: 9781799853404
DOI: 10.4018/978-1-7998-5339-8.ch009
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MLA

Thota, Chandu, et al. "Architecture for Big Data Storage in Different Cloud Deployment Models." Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing, edited by Information Resources Management Association, IGI Global, 2021, pp. 178-208. https://doi.org/10.4018/978-1-7998-5339-8.ch009

APA

Thota, C., Manogaran, G., Lopez, D., & Sundarasekar, R. (2021). Architecture for Big Data Storage in Different Cloud Deployment Models. In I. Management Association (Ed.), Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing (pp. 178-208). IGI Global. https://doi.org/10.4018/978-1-7998-5339-8.ch009

Chicago

Thota, Chandu, et al. "Architecture for Big Data Storage in Different Cloud Deployment Models." In Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing, edited by Information Resources Management Association, 178-208. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-5339-8.ch009

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Abstract

Cloud Computing is a new computing model that distributes the computation on a resource pool. The need for a scalable database capable of expanding to accommodate growth has increased with the growing data in web world. More familiar Cloud Computing vendors such as Amazon Web Services, Microsoft, Google, IBM and Rackspace offer cloud based Hadoop and NoSQL database platforms to process Big Data applications. Variety of services are available that run on top of cloud platforms freeing users from the need to deploy their own systems. Nowadays, integrating Big Data and various cloud deployment models is major concern for Internet companies especially software and data services vendors that are just getting started themselves. This chapter proposes an efficient architecture for integration with comprehensive capabilities including real time and bulk data movement, bi-directional replication, metadata management, high performance transformation, data services and data quality for customer and product domains.

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