Big Data: Myths, Realities and Perspectives - A Remote Look

Djamel Ghernaout; Mohamed Aichouni; Abdulaziz Alghamdi; Noureddine Ait Messaoudene

doi:doi:10.11648/j.ajist.20180201.11

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Big Data: Myths, Realities and Perspectives - A Remote Look

Djamel Ghernaout, Mohamed Aichouni, Abdulaziz Alghamdi, Noureddine Ait Messaoudene

Published in American Journal of Information Science and Technology (Volume 2, Issue 1)

Received: 13 April 2018 Accepted: 27 April 2018 Published: 14 May 2018

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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.

Published in	American Journal of Information Science and Technology (Volume 2, Issue 1)
DOI	10.11648/j.ajist.20180201.11
Page(s)	1-8
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Big Data, Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, Brontobytes Period, Internet

References

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[4]	The world’s technological capacity to store, communicate, and compute information, http://www.martinhilbert.net/WorldInfoCapacity.html/ (Accessed on 11/04/18).
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[7]	D. Ghernaout, M. Aichouni, A. Alghamdi, Applying big data in water treatment industry: A new era of advance, Intern. J. Adv. Appl. Sci. 5 (2018) 89-97.
[8]	K. B. Carter, D. Farmer, C. Siegel, Actionable intelligence, a guide to delivering business results with big data fast!, John Wiley & Sons, Inc., Hoboken, New Jersey, 2014.
[9]	K. H. Pries, R. Dunnigan, Big Data analytics, A practical guide for managers, CRC Press, Taylor & Francis Group, An Auerbach Book, Boca Raton, Florida, 2015.
[10]	A. Sathi, Big data analytics: Disruptive technologies for changing the game, MC Press Online, LLC, IBM Corporation, Boise, USA, 2012.
[11]	A. Birkbak, H. B. Carlsen, The public and its algorithms, comparing and experimenting with calculated publics (Ch. 1), Algorithmic life, Calculative devices in the age of big data, L. Amoore, V. Piotukh (Eds.), Routledge, Taylor & Francis Group, New York, 2016.
[12]	D. Feinleib, Big data bootcamp, what managers need to know to profit from the big data revolution, Apress, Springer Science+Business Media, New York, 2014.
[13]	M. Van Rijmenam, Think bigger, developing a successful big data strategy for your business, AMACOM, American Management Association, New York, 2014.
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APA Style

Djamel Ghernaout, Mohamed Aichouni, Abdulaziz Alghamdi, Noureddine Ait Messaoudene. (2018). Big Data: Myths, Realities and Perspectives - A Remote Look. American Journal of Information Science and Technology, 2(1), 1-8. https://doi.org/10.11648/j.ajist.20180201.11

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ACS Style

Djamel Ghernaout; Mohamed Aichouni; Abdulaziz Alghamdi; Noureddine Ait Messaoudene. Big Data: Myths, Realities and Perspectives - A Remote Look. Am. J. Inf. Sci. Technol. 2018, 2(1), 1-8. doi: 10.11648/j.ajist.20180201.11

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AMA Style

Djamel Ghernaout, Mohamed Aichouni, Abdulaziz Alghamdi, Noureddine Ait Messaoudene. Big Data: Myths, Realities and Perspectives - A Remote Look. Am J Inf Sci Technol. 2018;2(1):1-8. doi: 10.11648/j.ajist.20180201.11

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@article{10.11648/j.ajist.20180201.11,
  author = {Djamel Ghernaout and Mohamed Aichouni and Abdulaziz Alghamdi and Noureddine Ait Messaoudene},
  title = {Big Data: Myths, Realities and Perspectives - A Remote Look},
  journal = {American Journal of Information Science and Technology},
  volume = {2},
  number = {1},
  pages = {1-8},
  doi = {10.11648/j.ajist.20180201.11},
  url = {https://doi.org/10.11648/j.ajist.20180201.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajist.20180201.11},
  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.},
 year = {2018}
}

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TY  - JOUR
T1  - Big Data: Myths, Realities and Perspectives - A Remote Look
AU  - Djamel Ghernaout
AU  - Mohamed Aichouni
AU  - Abdulaziz Alghamdi
AU  - Noureddine Ait Messaoudene
Y1  - 2018/05/14
PY  - 2018
N1  - https://doi.org/10.11648/j.ajist.20180201.11
DO  - 10.11648/j.ajist.20180201.11
T2  - American Journal of Information Science and Technology
JF  - American Journal of Information Science and Technology
JO  - American Journal of Information Science and Technology
SP  - 1
EP  - 8
PB  - Science Publishing Group
SN  - 2640-0588
UR  - https://doi.org/10.11648/j.ajist.20180201.11
AB  - 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.
VL  - 2
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Author Information

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

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Plain Text BibTeX RIS

APA Style

Djamel Ghernaout, Mohamed Aichouni, Abdulaziz Alghamdi, Noureddine Ait Messaoudene. (2018). Big Data: Myths, Realities and Perspectives - A Remote Look. American Journal of Information Science and Technology, 2(1), 1-8. https://doi.org/10.11648/j.ajist.20180201.11

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ACS Style

Djamel Ghernaout; Mohamed Aichouni; Abdulaziz Alghamdi; Noureddine Ait Messaoudene. Big Data: Myths, Realities and Perspectives - A Remote Look. Am. J. Inf. Sci. Technol. 2018, 2(1), 1-8. doi: 10.11648/j.ajist.20180201.11

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AMA Style

Djamel Ghernaout, Mohamed Aichouni, Abdulaziz Alghamdi, Noureddine Ait Messaoudene. Big Data: Myths, Realities and Perspectives - A Remote Look. Am J Inf Sci Technol. 2018;2(1):1-8. doi: 10.11648/j.ajist.20180201.11

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@article{10.11648/j.ajist.20180201.11,
  author = {Djamel Ghernaout and Mohamed Aichouni and Abdulaziz Alghamdi and Noureddine Ait Messaoudene},
  title = {Big Data: Myths, Realities and Perspectives - A Remote Look},
  journal = {American Journal of Information Science and Technology},
  volume = {2},
  number = {1},
  pages = {1-8},
  doi = {10.11648/j.ajist.20180201.11},
  url = {https://doi.org/10.11648/j.ajist.20180201.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajist.20180201.11},
  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.},
 year = {2018}
}

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TY  - JOUR
T1  - Big Data: Myths, Realities and Perspectives - A Remote Look
AU  - Djamel Ghernaout
AU  - Mohamed Aichouni
AU  - Abdulaziz Alghamdi
AU  - Noureddine Ait Messaoudene
Y1  - 2018/05/14
PY  - 2018
N1  - https://doi.org/10.11648/j.ajist.20180201.11
DO  - 10.11648/j.ajist.20180201.11
T2  - American Journal of Information Science and Technology
JF  - American Journal of Information Science and Technology
JO  - American Journal of Information Science and Technology
SP  - 1
EP  - 8
PB  - Science Publishing Group
SN  - 2640-0588
UR  - https://doi.org/10.11648/j.ajist.20180201.11
AB  - 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.
VL  - 2
IS  - 1
ER  -

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