Volume 2, Issue 1, March 2018, Page: 1-8
Big Data: Myths, Realities and Perspectives - A Remote Look
Djamel Ghernaout, Chemical Engineering Department, College of Engineering, University of Ha’il, Ha’il, Saudi Arabia; National Initiative on Creativity and Innovation Project, College of Engineering, University of Ha’il, Ha’il, Saudi Arabia; Chemical Engineering Department, Faculty of Engineering, University of Blida, Blida, Algeria
Mohamed Aichouni, National Initiative on Creativity and Innovation Project, College of Engineering, University of Ha’il, Ha’il, Saudi Arabia; Industrial Engineering Department, College of Engineering, University of Ha’il, Ha’il, Saudi Arabia
Abdulaziz Alghamdi, National Initiative on Creativity and Innovation Project, College of Engineering, University of Ha’il, Ha’il, Saudi Arabia; Mechanical Engineering Department, College of Engineering, University of Ha’il, Ha’il, Saudi Arabia
Noureddine Ait Messaoudene, National Initiative on Creativity and Innovation Project, College of Engineering, University of Ha’il, Ha’il, Saudi Arabia; Mechanical Engineering Department, College of Engineering, University of Ha’il, Ha’il, Saudi Arabia
Received: Apr. 13, 2018;       Accepted: Apr. 27, 2018;       Published: May 14, 2018
DOI: 10.11648/j.ajist.20180201.11      View  1394      Downloads  102
Abstract
In a world where data is gathered in ever‐increasing quantities, summing more of what persons and organizations perform, and catching smallest detail of their comportment. There are three fashions to distinguish data occasionally reported as volume, variety, and velocity—the meaning of Big Data. This review aims to focus on defining Big Data and describing some of its myths and realities. The significance of big data does not focus on how much data is possessed, but what things may be performed with it. Data may be extracted from any origin and examined to detect replies that let 1) cost decreases, 2) time decreases, 3) fresh product expansion and studied offerings, and 4) smart decision making. As a magic, charming, and mysterious noun, Big Data remains an attractive novel field in both science and technology. Despite of the developed technology and open knowledge, Big Data still needs more familiarization and demystification. More developed computer skills will be needed to understand and touch its practical extent.
Keywords
Big Data, Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, Brontobytes Period, Internet
To cite this article
Djamel Ghernaout, Mohamed Aichouni, Abdulaziz Alghamdi, Noureddine Ait Messaoudene, Big Data: Myths, Realities and Perspectives - A Remote Look, American Journal of Information Science and Technology. Vol. 2, No. 1, 2018, pp. 1-8. doi: 10.11648/j.ajist.20180201.11
Copyright
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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