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Deimos: A Model-Based NoSQL Data Generation Language

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Advances in Conceptual Modeling (ER 2020)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 12584))

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Abstract

Synthetic data generation is of great interest when testing applications using databases. Some research and tools have been developed for relational systems. However there has been little attention to this problem for NoSQL systems. This work introduces Deimos, a prototype of a model-based language developed to generate synthetic data from NoSQL schemas represented as models conforming the NoSQLSchema metamodel. Requirements for the language–that become its design forces–are stated. The language is described, the generation process is analyzed, and future lines of work are outlined.

This work was supported in part by the Spanish Ministry of Science, Innovation and Universities, under Grant TIN2017-86853-P.

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Authors and Affiliations

  1. Faculty of Computer Science, University of Murcia, Murcia, Spain

    Alberto Hernández Chillón, Diego Sevilla Ruiz & Jesús García Molina

Authors
  1. Alberto Hernández Chillón
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  2. Diego Sevilla Ruiz
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  3. Jesús García Molina
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Corresponding author

Correspondence to Alberto Hernández Chillón .

Editor information

Editors and Affiliations

  1. University of South Australia, Adelaide, SA, Australia

    Georg Grossmann

  2. University of Arizona, Tucson, AZ, USA

    Sudha Ram

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Hernández Chillón, A., Sevilla Ruiz, D., García Molina, J. (2020). Deimos: A Model-Based NoSQL Data Generation Language. In: Grossmann, G., Ram, S. (eds) Advances in Conceptual Modeling. ER 2020. Lecture Notes in Computer Science(), vol 12584. Springer, Cham. https://doi.org/10.1007/978-3-030-65847-2_14

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  • DOI: https://doi.org/10.1007/978-3-030-65847-2_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-65846-5

  • Online ISBN: 978-3-030-65847-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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