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Incremental extraction of a NoSQL database model using an MDA-based process

Abstract : In recent years, the need to use NoSQL systems to store and exploit big data has been steadily increasing. Most of these systems are characterized by the property "schema less" which means absence of the data model when creating a database. This property brings an undeniable flexibility by allowing the evolution of the model during the exploitation of the base. However, the expression of queries requires a precise knowledge of this model. In this paper, we propose an incremental process to extract the model while operating the document-oriented NoSQL database. To do this, we use the Model Driven Architecture (MDA) that provides a formal framework for automatic model transformation. From the insert, delete and update queries executed on the database, we propose formal transformation rules with QVT to generate the physical model of the NoSQL database. An experimentation of the extraction process was performed on a medical application.
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Submitted on : Thursday, July 2, 2020 - 4:56:40 PM
Last modification on : Wednesday, June 9, 2021 - 10:00:30 AM
Long-term archiving on: : Thursday, September 24, 2020 - 5:40:41 AM


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  • HAL Id : hal-02888070, version 1
  • OATAO : 26233


Amal Ait Brahim, Rabah Tighilt Ferhat, Gilles Zurfluh. Incremental extraction of a NoSQL database model using an MDA-based process. 18th International Conference on Information and Knowledge Engineering (IKE), Jul 2019, Las Vegas, Nevada, United States. pp.32-38. ⟨hal-02888070⟩



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