IDEAS home Printed from https://ideas.repec.org/a/aes/dbjour/v11y2020i1p37-46.html
   My bibliography  Save this article

A Big Data Modeling Methodology for NoSQL Document Databases

Author

Listed:
  • Gerardo Rossel

    (Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina)

  • Andrea Manna

    (Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina)

Abstract

This article proposes a design methodology for NoSQL document databases to overcome the limitations of traditional techniques. Non-relational databases have gained increasing interest in recent years, but design methodology has been overlooked. Key-value datastores are an important component of NoSQL databases. The article describes a clean design that enables better data management and consistency. The proposed methodology is expected to be of great help to developers and architects of non-relational databases.

Suggested Citation

  • Gerardo Rossel & Andrea Manna, 2020. "A Big Data Modeling Methodology for NoSQL Document Databases," Database Systems Journal, Academy of Economic Studies - Bucharest, Romania, vol. 11(1), pages 37-46.
  • Handle: RePEc:aes:dbjour:v:11:y:2020:i:1:p:37-46
    as

    Download full text from publisher

    File URL: https://www.dbjournal.ro/archive/31/31_5.pdf
    Download Restriction: no
    ---><---

    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:aes:dbjour:v:11:y:2020:i:1:p:37-46. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Adela Bara (email available below). General contact details of provider: https://edirc.repec.org/data/aseeero.html .

    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.