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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
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Author(s): Deepak Saini (Publicis Sapient, India)and Jasmine Saini (Jaypee Institute of Information Technology, India)
Copyright: 2018
Pages: 23
Source title: Examining Cloud Computing Technologies Through the Internet of Things
Source Author(s)/Editor(s): Pradeep Tomar (Gautam Buddha University, India)and Gurjit Kaur (Delhi Technological University, India)
DOI: 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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