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Examining Data Lake Design Principle for Cloud Computing Technology and IoT

Examining Data Lake Design Principle for Cloud Computing Technology and IoT

Deepak Saini, Jasmine Saini
Copyright: © 2018 |Pages: 23
ISBN13: 9781522534457|ISBN10: 1522534458|EISBN13: 9781522534464
DOI: 10.4018/978-1-5225-3445-7.ch012
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MLA

Saini, Deepak, and Jasmine Saini. "Examining Data Lake Design Principle for Cloud Computing Technology and IoT." Examining Cloud Computing Technologies Through the Internet of Things, edited by Pradeep Tomar and Gurjit Kaur, IGI Global, 2018, pp. 228-250. https://doi.org/10.4018/978-1-5225-3445-7.ch012

APA

Saini, D. & Saini, J. (2018). Examining Data Lake Design Principle for Cloud Computing Technology and IoT. In P. Tomar & G. Kaur (Eds.), Examining Cloud Computing Technologies Through the Internet of Things (pp. 228-250). IGI Global. https://doi.org/10.4018/978-1-5225-3445-7.ch012

Chicago

Saini, Deepak, and Jasmine Saini. "Examining Data Lake Design Principle for Cloud Computing Technology and IoT." In Examining Cloud Computing Technologies Through the Internet of Things, edited by Pradeep Tomar and Gurjit Kaur, 228-250. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-3445-7.ch012

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Abstract

In the Cloud-based IoT systems, the major issue is handling the data because IoT will deliver an abundance of data to the Cloud for computing. In this situation, the cloud servers will compute the big data and try to identify the relevant data and give decisions accordingly. In the world of big data, it is a herculean task to manage inflow, storage, and exploration of millions of data files and the volume of information coming from multiple systems. The growth of this information calls for good design principles so that it can leverage the different big data tools available in the market today. From the information consumption standpoint, business users are exploring new insights from the big data that can uncover potential business value. Data lake is a technology framework that helps to solve this big data challenge.

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