Model-Driven reverse engineering of NoSQL property graph databases

Abstract : - Most NoSQL databases are schemaless. Although they offer some flexibility, they do not have any knowledge of the database schema, losing the benefits provided by these schemas. It is generally accepted that data modelling can have an impact on performance, consistency, usability, and maintainability. We argue that NoSQL databases need data models that ensure the proper storage and the relevant querying of the data. This paper seeks to present and illustrate an MDA-based approach, allowing us to achieve a reverse engineering of NoSQL property graph databases into an Extended Entity-Relationship schema. The approach is applied to the case of Neo4j graph database. We present an illustrative scenario and evaluate the reverse engineering approach.
Document type :
Conference papers
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https://hal.archives-ouvertes.fr/hal-02374100
Contributor : Médiathèque Télécom Sudparis & Institut Mines-Télécom Business School <>
Submitted on : Thursday, November 21, 2019 - 1:16:26 PM
Last modification on : Wednesday, February 12, 2020 - 3:02:19 PM

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  • HAL Id : hal-02374100, version 1

Citation

Isabelle Comyn-Wattiau, Jacky Akoka. Model-Driven reverse engineering of NoSQL property graph databases. Big Data 2017 : IEEE International Conference on Big Data, Dec 2017, Boston, United States. ⟨hal-02374100⟩

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