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NoSQL Databases – Seek for a Design Methodology

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Model and Data Engineering (MEDI 2018)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 11163))

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Abstract

NoSQL has emerged as a novel approach to bypass the rigidity and limits that traditional Databases presented when modeling real world features. Its heterogeneity, the variety of models it introduced and its several technical advantages helped NoSQL conquer the industrial and business world. NoSQL Databases are mostly conceived at physical design level, following a set of storage and structural rules regulated by each specific database. As NoSQL thrived, so did NoSQL data modeling. Research into unified approaches for NoSQL Databases at all design levels has been widely pursued in the last decade or so. This paper presents a survey of the various proposals aiming to unify all or most NoSQL Databases under a uniform design methodology. We also present the different data models of each NoSQL Database type, and the numerous approaches existing in the literature to designing and modeling them, in addition to an evaluation system for NoSQL design methodologies.

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Authors and Affiliations

  1. Alqualsadi, Rabat IT Center, ENSIAS, Mohammed V University, Rabat, Morocco

    Chaimae Asaad & Karim Baïna

Authors
  1. Chaimae Asaad
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  2. Karim Baïna
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Corresponding authors

Correspondence to Chaimae Asaad or Karim Baïna .

Editor information

Editors and Affiliations

  1. Cadi Ayyad University, Marrakesh, Morocco

    El Hassan Abdelwahed

  2. LIAS/ISAE-ENSMA, Futuroscope Chasseneuil Cedex, France

    Ladjel Bellatreche

  3. University of Bologna, Cesena, Italy

    Mattéo Golfarelli

  4. University of Lorraine, Vandœuvre-lès-Nancy, France

    Dominique Méry

  5. University of Houston, Houston, TX, USA

    Carlos Ordonez

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Asaad, C., Baïna, K. (2018). NoSQL Databases – Seek for a Design Methodology. In: Abdelwahed, E., Bellatreche, L., Golfarelli, M., Méry, D., Ordonez, C. (eds) Model and Data Engineering. MEDI 2018. Lecture Notes in Computer Science(), vol 11163. Springer, Cham. https://doi.org/10.1007/978-3-030-00856-7_2

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  • DOI: https://doi.org/10.1007/978-3-030-00856-7_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00855-0

  • Online ISBN: 978-3-030-00856-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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