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DOI: 10.14569/IJACSA.2016.070124
PDF

Database-as-a-Service for Big Data: An Overview

Author 1: Manar Abourezq
Author 2: Abdellah Idrissi

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 1, 2016.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: The last two decades were marked by an exponential growth in the volume of data originating from various data sources, from mobile phones to social media contents, all through the multitude devices of the Internet of Things. This flow of data can’t be managed using a classical approach and has led to the emergence of a new buzz word: Big Data. Among the research challenges related to Big Data there is the issue of data storage. Traditional relational database systems proved to be unable to efficiently manage Big Data datasets. In this context, Cloud Computing plays a relevant role, as it offers interesting models to deal with Big Data storage, especially the model known as Database as a Service (DBaaS). We propose, in this article, a review of database solutions that are offered as DBaaS and discuss their adaptability to Big Data applications.

Keywords: Cloud Computing; Big Data; Database as a Service

Manar Abourezq and Abdellah Idrissi, “Database-as-a-Service for Big Data: An Overview” International Journal of Advanced Computer Science and Applications(IJACSA), 7(1), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070124

@article{Abourezq2016,
title = {Database-as-a-Service for Big Data: An Overview},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070124},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070124},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {1},
author = {Manar Abourezq and Abdellah Idrissi}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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