Digital Transformation in the Era of Big Data and Cloud Computing

Joseph On-Piu Chan

doi:doi:10.11648/j.ijiis.20200903.11

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Digital Transformation in the Era of Big Data and Cloud Computing

Joseph On-Piu Chan

Published in International Journal of Intelligent Information Systems (Volume 9, Issue 3)

Received: 23 June 2020 Accepted: 13 July 2020 Published: 30 July 2020

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Abstract

Digital transformation is the application of innovative digital technology to fundamentally change the model of how business operates, and the way technology is delivered to support the overall business. The evolution of digital transformation has taken place in different stages, from automation to radical shifts of business models via disruptive technologies of modern times. The emergence of Big Data and cloud computing has fundamentally changed the paradigm of computing in data transformation and delivery. Mountains of data of huge volume, velocity, and variety are converted into actionable intelligence that can be delivered in real-time on demand, anywhere and anytime around the globe. This paper examines the technology drivers for digital transformation that include Big Data, advanced analytics and artificial intelligence under an integrated cloud platform that provides ubiquitous on-demand services to modern enterprises driven by knowledge and relationship. Data from different sources are transformed into actionable intelligence via traditional and Big Data analytic platforms. It is distributed via an everything-as-a-service model to a community that consists of organizations, people, things and systems, anywhere and anytime around the globe. Analysis of business cases points to the importance of investing in digital transformation as illustrated by the success and failure of companies coping with the recent coronavirus pandemic. This paper provides an architecture that serves as a roadmap for the digital transformation of modern-day business enterprises.

Published in	International Journal of Intelligent Information Systems (Volume 9, Issue 3)
DOI	10.11648/j.ijiis.20200903.11
Page(s)	16-23
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), 2020. Published by Science Publishing Group

Keywords

Digital Transformation, Big Data, Cloud Computing, Analytics, Artificial Intelligence

References

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Joseph On-Piu Chan. (2020). Digital Transformation in the Era of Big Data and Cloud Computing. International Journal of Intelligent Information Systems, 9(3), 16-23. https://doi.org/10.11648/j.ijiis.20200903.11

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Joseph On-Piu Chan. Digital Transformation in the Era of Big Data and Cloud Computing. Int. J. Intell. Inf. Syst. 2020, 9(3), 16-23. doi: 10.11648/j.ijiis.20200903.11

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Joseph On-Piu Chan. Digital Transformation in the Era of Big Data and Cloud Computing. Int J Intell Inf Syst. 2020;9(3):16-23. doi: 10.11648/j.ijiis.20200903.11

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@article{10.11648/j.ijiis.20200903.11,
  author = {Joseph On-Piu Chan},
  title = {Digital Transformation in the Era of Big Data and Cloud Computing},
  journal = {International Journal of Intelligent Information Systems},
  volume = {9},
  number = {3},
  pages = {16-23},
  doi = {10.11648/j.ijiis.20200903.11},
  url = {https://doi.org/10.11648/j.ijiis.20200903.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20200903.11},
  abstract = {Digital transformation is the application of innovative digital technology to fundamentally change the model of how business operates, and the way technology is delivered to support the overall business. The evolution of digital transformation has taken place in different stages, from automation to radical shifts of business models via disruptive technologies of modern times. The emergence of Big Data and cloud computing has fundamentally changed the paradigm of computing in data transformation and delivery. Mountains of data of huge volume, velocity, and variety are converted into actionable intelligence that can be delivered in real-time on demand, anywhere and anytime around the globe. This paper examines the technology drivers for digital transformation that include Big Data, advanced analytics and artificial intelligence under an integrated cloud platform that provides ubiquitous on-demand services to modern enterprises driven by knowledge and relationship. Data from different sources are transformed into actionable intelligence via traditional and Big Data analytic platforms. It is distributed via an everything-as-a-service model to a community that consists of organizations, people, things and systems, anywhere and anytime around the globe. Analysis of business cases points to the importance of investing in digital transformation as illustrated by the success and failure of companies coping with the recent coronavirus pandemic. This paper provides an architecture that serves as a roadmap for the digital transformation of modern-day business enterprises.},
 year = {2020}
}

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TY  - JOUR
T1  - Digital Transformation in the Era of Big Data and Cloud Computing
AU  - Joseph On-Piu Chan
Y1  - 2020/07/30
PY  - 2020
N1  - https://doi.org/10.11648/j.ijiis.20200903.11
DO  - 10.11648/j.ijiis.20200903.11
T2  - International Journal of Intelligent Information Systems
JF  - International Journal of Intelligent Information Systems
JO  - International Journal of Intelligent Information Systems
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EP  - 23
PB  - Science Publishing Group
SN  - 2328-7683
UR  - https://doi.org/10.11648/j.ijiis.20200903.11
AB  - Digital transformation is the application of innovative digital technology to fundamentally change the model of how business operates, and the way technology is delivered to support the overall business. The evolution of digital transformation has taken place in different stages, from automation to radical shifts of business models via disruptive technologies of modern times. The emergence of Big Data and cloud computing has fundamentally changed the paradigm of computing in data transformation and delivery. Mountains of data of huge volume, velocity, and variety are converted into actionable intelligence that can be delivered in real-time on demand, anywhere and anytime around the globe. This paper examines the technology drivers for digital transformation that include Big Data, advanced analytics and artificial intelligence under an integrated cloud platform that provides ubiquitous on-demand services to modern enterprises driven by knowledge and relationship. Data from different sources are transformed into actionable intelligence via traditional and Big Data analytic platforms. It is distributed via an everything-as-a-service model to a community that consists of organizations, people, things and systems, anywhere and anytime around the globe. Analysis of business cases points to the importance of investing in digital transformation as illustrated by the success and failure of companies coping with the recent coronavirus pandemic. This paper provides an architecture that serves as a roadmap for the digital transformation of modern-day business enterprises.
VL  - 9
IS  - 3
ER  -

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Author Information

Joseph On-Piu Chan

Department of Information Systems, Roosevelt University, Chicago, USA

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APA Style

Joseph On-Piu Chan. (2020). Digital Transformation in the Era of Big Data and Cloud Computing. International Journal of Intelligent Information Systems, 9(3), 16-23. https://doi.org/10.11648/j.ijiis.20200903.11

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ACS Style

Joseph On-Piu Chan. Digital Transformation in the Era of Big Data and Cloud Computing. Int. J. Intell. Inf. Syst. 2020, 9(3), 16-23. doi: 10.11648/j.ijiis.20200903.11

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AMA Style

Joseph On-Piu Chan. Digital Transformation in the Era of Big Data and Cloud Computing. Int J Intell Inf Syst. 2020;9(3):16-23. doi: 10.11648/j.ijiis.20200903.11

Copy | Download

@article{10.11648/j.ijiis.20200903.11,
  author = {Joseph On-Piu Chan},
  title = {Digital Transformation in the Era of Big Data and Cloud Computing},
  journal = {International Journal of Intelligent Information Systems},
  volume = {9},
  number = {3},
  pages = {16-23},
  doi = {10.11648/j.ijiis.20200903.11},
  url = {https://doi.org/10.11648/j.ijiis.20200903.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20200903.11},
  abstract = {Digital transformation is the application of innovative digital technology to fundamentally change the model of how business operates, and the way technology is delivered to support the overall business. The evolution of digital transformation has taken place in different stages, from automation to radical shifts of business models via disruptive technologies of modern times. The emergence of Big Data and cloud computing has fundamentally changed the paradigm of computing in data transformation and delivery. Mountains of data of huge volume, velocity, and variety are converted into actionable intelligence that can be delivered in real-time on demand, anywhere and anytime around the globe. This paper examines the technology drivers for digital transformation that include Big Data, advanced analytics and artificial intelligence under an integrated cloud platform that provides ubiquitous on-demand services to modern enterprises driven by knowledge and relationship. Data from different sources are transformed into actionable intelligence via traditional and Big Data analytic platforms. It is distributed via an everything-as-a-service model to a community that consists of organizations, people, things and systems, anywhere and anytime around the globe. Analysis of business cases points to the importance of investing in digital transformation as illustrated by the success and failure of companies coping with the recent coronavirus pandemic. This paper provides an architecture that serves as a roadmap for the digital transformation of modern-day business enterprises.},
 year = {2020}
}

Copy | Download

TY  - JOUR
T1  - Digital Transformation in the Era of Big Data and Cloud Computing
AU  - Joseph On-Piu Chan
Y1  - 2020/07/30
PY  - 2020
N1  - https://doi.org/10.11648/j.ijiis.20200903.11
DO  - 10.11648/j.ijiis.20200903.11
T2  - International Journal of Intelligent Information Systems
JF  - International Journal of Intelligent Information Systems
JO  - International Journal of Intelligent Information Systems
SP  - 16
EP  - 23
PB  - Science Publishing Group
SN  - 2328-7683
UR  - https://doi.org/10.11648/j.ijiis.20200903.11
AB  - Digital transformation is the application of innovative digital technology to fundamentally change the model of how business operates, and the way technology is delivered to support the overall business. The evolution of digital transformation has taken place in different stages, from automation to radical shifts of business models via disruptive technologies of modern times. The emergence of Big Data and cloud computing has fundamentally changed the paradigm of computing in data transformation and delivery. Mountains of data of huge volume, velocity, and variety are converted into actionable intelligence that can be delivered in real-time on demand, anywhere and anytime around the globe. This paper examines the technology drivers for digital transformation that include Big Data, advanced analytics and artificial intelligence under an integrated cloud platform that provides ubiquitous on-demand services to modern enterprises driven by knowledge and relationship. Data from different sources are transformed into actionable intelligence via traditional and Big Data analytic platforms. It is distributed via an everything-as-a-service model to a community that consists of organizations, people, things and systems, anywhere and anytime around the globe. Analysis of business cases points to the importance of investing in digital transformation as illustrated by the success and failure of companies coping with the recent coronavirus pandemic. This paper provides an architecture that serves as a roadmap for the digital transformation of modern-day business enterprises.
VL  - 9
IS  - 3
ER  -

Copy | Download