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), 2018. Published by Science Publishing Group

Keywords

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

References

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[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.
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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
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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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Author Information

Djamel Ghernaout

Chemical Engineering Department, College of Engineering, University of Ha’il, Ha’il, Saudi Arabia
Mohamed Aichouni

National Initiative on Creativity and Innovation Project, 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
Noureddine Ait Messaoudene

National Initiative on Creativity and Innovation Project, 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

Copy | Download

@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}
}

Copy | Download

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  -

Copy | Download