IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i20p15034-d1262584.html
   My bibliography  Save this article

Enhancing Data Management Strategies with a Hybrid Layering Framework in Assessing Data Validation and High Availability Sustainability

Author

Listed:
  • Paniti Netinant

    (College of Digital Innovation Technology, Rangsit University, Pathum Thani 12000, Thailand)

  • Nattapat Saengsuwan

    (College of Digital Innovation Technology, Rangsit University, Pathum Thani 12000, Thailand)

  • Meennapa Rukhiran

    (Faculty of Social Technology, Rajamangala University of Technology Tawan-ok, Chanthaburi 20110, Thailand)

  • Sorapak Pukdesree

    (Faculty of Information Technology and Innovation, Bangkok University, Pathum Thani 12120, Thailand)

Abstract

Individuals and digital organizations deal with a substantial amount of collected data required for performing various data management strategies, such as replacing, upgrading, and migrating existing data from one system to another, while supporting the data’s complexity, authenticity, quality, and precision. Failures in data migration can result in data and service interruptions, financial losses, and reputational harm. This research aims to identify the specific challenges of a data management strategy, develop a comprehensive framework of data migration practices, and assess the efficacy of data validation and high availability for optimizing complex data and reducing the need to minimize errors during data migration. Combining trickle and zero-downtime migration techniques with a layering approach, a hybrid-layering framework was designed to encompass the entire spectrum of data migration techniques, beginning with system requirements and data transformation, rigorous functions, and evaluation metrics for sustainable data validation. The evaluation metric criteria are defined to evaluate data migration based on data consistency, integrity, quality, accuracy, and recall. The experiment demonstrated a real-world scenario involving a logistics company with 222 tables and 4.65 GB of data. The research compared various data migration strategies. The outcomes of the hybrid-layering framework’s examination of the final system’s functionality are satisfactory, emphasizing the critical importance of data migration sustainability to ensure data validity and high availability. This study is useful for individuals and organizations seeking to sustainably improve their data management strategies to minimize disruptions while preserving data integrity.

Suggested Citation

  • Paniti Netinant & Nattapat Saengsuwan & Meennapa Rukhiran & Sorapak Pukdesree, 2023. "Enhancing Data Management Strategies with a Hybrid Layering Framework in Assessing Data Validation and High Availability Sustainability," Sustainability, MDPI, vol. 15(20), pages 1-28, October.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:20:p:15034-:d:1262584
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/20/15034/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/20/15034/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Masky Mackita & Soo-Young Shin & Tae-Young Choe, 2019. "ERMOCTAVE: A Risk Management Framework for IT Systems Which Adopt Cloud Computing," Future Internet, MDPI, vol. 11(9), pages 1-21, September.
    2. Feng Xiong & Maoyue Xie & Lingjuan Zhao & Cheng Li & Xuan Fan, 2022. "Recognition and Evaluation of Data as Intangible Assets," SAGE Open, , vol. 12(2), pages 21582440221, April.
    3. Meennapa Rukhiran & Somchai Buaroong & Paniti Netinant, 2022. "Software Development for Educational Information Services Using Multilayering Semantics Adaptation," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 13(1), pages 1-27, January.
    4. Eduardo Sánchez-García & Bartolomé Marco-Lajara & Pedro Seva-Larrosa & Javier Martínez-Falcó, 2022. "Driving Innovation by Managing Entrepreneurial Orientation, Cooperation and Learning for the Sustainability of Companies in the Energy Sector," Sustainability, MDPI, vol. 14(24), pages 1-17, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Meennapa Rukhiran & Songwut Boonsong & Paniti Netinant, 2024. "Sustainable Optimizing Performance and Energy Efficiency in Proof of Work Blockchain: A Multilinear Regression Approach," Sustainability, MDPI, vol. 16(4), pages 1-38, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Meennapa Rukhiran & Songwut Boonsong & Paniti Netinant, 2024. "Sustainable Optimizing Performance and Energy Efficiency in Proof of Work Blockchain: A Multilinear Regression Approach," Sustainability, MDPI, vol. 16(4), pages 1-38, February.
    2. Wanvipa Wongvilaisakul & Paniti Netinant & Meennapa Rukhiran, 2023. "Dynamic Multi-Criteria Decision Making of Graduate Admission Recommender System: AHP and Fuzzy AHP Approaches," Sustainability, MDPI, vol. 15(12), pages 1-32, June.
    3. Javier Martínez-Falcó & Bartolomé Marco-Lajara & Eduardo Sánchez-García & Luis A. Millan-Tudela, 2023. "Sustainable Development Goals in the Business Sphere: A Bibliometric Review," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
    4. Meennapa Rukhiran & Napasorn Phaokla & Paniti Netinant, 2022. "Adoption of Environmental Information Chatbot Services Based on the Internet of Educational Things in Smart Schools: Structural Equation Modeling Approach," Sustainability, MDPI, vol. 14(23), pages 1-32, November.
    5. Ping Chen, 2023. "The Effect of Value Creation on Startups Performance in the Digital Environment: Evidence from Chinese Digital Startups," Sustainability, MDPI, vol. 15(5), pages 1-18, February.
    6. Bartolomé Marco-Lajara & Javier Martínez-Falcó & Eduardo Sánchez-García & Luis A. Millan-Tudela, 2023. "Analyzing the Role of Renewable Energy in Meeting the Sustainable Development Goals: A Bibliometric Analysis," Energies, MDPI, vol. 16(7), pages 1-22, March.
    7. Qunying Mao, 2023. "Risk management of project information system operation and maintenance based on Cloud Computing," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 176-187, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:20:p:15034-:d:1262584. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.