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The Future of Data Storage: A Case Study with the Saudi Company

Received: 28 September 2017    Accepted: 14 October 2017    Published: 11 January 2018
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Abstract

The age of big data has emerged. These data are generated from online transactions, emails, posts, videos, search queries, etc. People also produce data by using the Internet of Things (IoT) applications and devices. Storing these massive quantities of data has become one of the most important and critical issues for big companies like Google, LinkedIn, Yahoo, and for the digital society in general. Traditional data storage methods such as Relational Database Management Systems (RDBMSs) are coming under increase pressure due to their capability limitations. However, many of new technical solutions have proved their efficiency in storing big data for large companies; some examples of these solutions include NetApp, Hadoop, SAN, the cloud, data centres, etc. The storage, accessibility, and security of big data issues are not only a computer science concern; it has become a topic of interest in many fields such as healthcare, E-commerce, and business in general. This project is investigating the data storage methods and future requirements for one of the largest oil companies in the world, Saudi SA Oil Company. A survey was carried out to understand current storage problems, and collect requirements to implement effective storage methodologies that overcome most of SA’s storage difficulties.

Published in Journal of Electrical and Electronic Engineering (Volume 6, Issue 1)
DOI 10.11648/j.jeee.20180601.11
Page(s) 1-11
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, SA Company, NetApp Storage, Two Surveys, Analysing Tools

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Cite This Article
  • APA Style

    Azzah Al Ghamdi, Thomas Thomson. (2018). The Future of Data Storage: A Case Study with the Saudi Company. Journal of Electrical and Electronic Engineering, 6(1), 1-11. https://doi.org/10.11648/j.jeee.20180601.11

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    ACS Style

    Azzah Al Ghamdi; Thomas Thomson. The Future of Data Storage: A Case Study with the Saudi Company. J. Electr. Electron. Eng. 2018, 6(1), 1-11. doi: 10.11648/j.jeee.20180601.11

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    AMA Style

    Azzah Al Ghamdi, Thomas Thomson. The Future of Data Storage: A Case Study with the Saudi Company. J Electr Electron Eng. 2018;6(1):1-11. doi: 10.11648/j.jeee.20180601.11

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  • @article{10.11648/j.jeee.20180601.11,
      author = {Azzah Al Ghamdi and Thomas Thomson},
      title = {The Future of Data Storage: A Case Study with the Saudi Company},
      journal = {Journal of Electrical and Electronic Engineering},
      volume = {6},
      number = {1},
      pages = {1-11},
      doi = {10.11648/j.jeee.20180601.11},
      url = {https://doi.org/10.11648/j.jeee.20180601.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20180601.11},
      abstract = {The age of big data has emerged. These data are generated from online transactions, emails, posts, videos, search queries, etc. People also produce data by using the Internet of Things (IoT) applications and devices. Storing these massive quantities of data has become one of the most important and critical issues for big companies like Google, LinkedIn, Yahoo, and for the digital society in general. Traditional data storage methods such as Relational Database Management Systems (RDBMSs) are coming under increase pressure due to their capability limitations. However, many of new technical solutions have proved their efficiency in storing big data for large companies; some examples of these solutions include NetApp, Hadoop, SAN, the cloud, data centres, etc. The storage, accessibility, and security of big data issues are not only a computer science concern; it has become a topic of interest in many fields such as healthcare, E-commerce, and business in general. This project is investigating the data storage methods and future requirements for one of the largest oil companies in the world, Saudi SA Oil Company. A survey was carried out to understand current storage problems, and collect requirements to implement effective storage methodologies that overcome most of SA’s storage difficulties.},
     year = {2018}
    }
    

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    AB  - The age of big data has emerged. These data are generated from online transactions, emails, posts, videos, search queries, etc. People also produce data by using the Internet of Things (IoT) applications and devices. Storing these massive quantities of data has become one of the most important and critical issues for big companies like Google, LinkedIn, Yahoo, and for the digital society in general. Traditional data storage methods such as Relational Database Management Systems (RDBMSs) are coming under increase pressure due to their capability limitations. However, many of new technical solutions have proved their efficiency in storing big data for large companies; some examples of these solutions include NetApp, Hadoop, SAN, the cloud, data centres, etc. The storage, accessibility, and security of big data issues are not only a computer science concern; it has become a topic of interest in many fields such as healthcare, E-commerce, and business in general. This project is investigating the data storage methods and future requirements for one of the largest oil companies in the world, Saudi SA Oil Company. A survey was carried out to understand current storage problems, and collect requirements to implement effective storage methodologies that overcome most of SA’s storage difficulties.
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Author Information
  • College of Computer Science and Information Technology, Computer Information Systems Department, Imam Abdalrhman Bin Faisal University, Dammam, Kingdom of Saudi Arabia

  • School of Computer Science, Information Technology Department, University of Manchester, Manchester, United Kingdom

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