MDA Process to Extract the Data Model from Document-oriented NoSQL Database

Brahim, Amal Ait; Ferhat, Rabah Tighilt; Zurfluh, Gilles

doi:10.5220/0007676201410148

Cited by 4 publications

(1 citation statement)

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“…[Amal Ait Brahim and al, 2020] authors of [32] proposed an automatic process to transform a relational database via extraction to the physical model of a document-oriented database. This process, based on the MDA architecture (Model Driven Architecture), by offering a formal framework for the automation of model transformations.…”

Section: Related Workmentioning

confidence: 99%

New Structural and Semantic Transformation of Relational Databases to MongoDB

Erraji¹,

Maizate²,

Ouzzif³

2023

IJETAE

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Currently, data and its exploitation play a very important role in the life of individuals and organizations, without forgetting that through data management tools these organizations store their data history, which guides them at the operational and strategic levels. Considering the explosion of data at huge sizes, the old relational system has several shortcomings in managing this information, which justifies the need for data migration to NoSQL systems, which manage BigData efficiently. In this sense, this article fits to find a new transformation of relational databases to MongoDB, as a wellchosen NoSQL system for this transformation. This article presents the problem of this transformation, so that it can be discussed based on related works, then enlightened by presenting the storage philosophy and the semantics of the two systems source and destination of this transformation, which will be chained by our approach which defining a set of transformation rules to keep the same data and advantages of relational systems under a structure adequate to the concept of MongoDB and finally our conclusion of this work.

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Section: Related Workmentioning

confidence: 99%

New Structural and Semantic Transformation of Relational Databases to MongoDB

Erraji¹,

Maizate²,

Ouzzif³

2023

IJETAE

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Extraction process of conceptual model from a document-oriented NoSQL database

Brahim

Ferhat

Zurfluh

2019

2019 11th International Conference on Knowledge and Systems Engineering (KSE)

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NoSQL systems are used to manage massive databases that verify 3V: Volume, Variety and Velocity. Generally, these systems are known by the characteristic "schema less" which means that we can create a database without defining the data schema beforehand. This property offers more flexibility and speed by allowing the evolution of the data model during the exploitation of the base. However, to formulate queries on the database, the user needs a precise knowledge of data model. In this article, we propose a process for the automatic extraction of the conceptual model of a document-oriented NoSQL database. To do this, we use the Model Driven Architecture (MDA) architecture that provides a formal framework for automatic model transformation. From a NoSQL database, we propose a set of transformation rules with QVT to generate the conceptual model in the form of a UML class diagram. An experimentation of the extraction process was carried out on an application in the medical field..

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Schema Extraction in NoSQL Databases: A Systematic Literature Review

Belefqih,

Zellou,

Berquedich

2024

RACSC

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Introduction: Nowadays, NoSQL databases have taken on an increasingly important role in the storage of massive data within companies. Due to a common property called schema-less, NoSQL databases offer great flexibility, particularly for the storage of data in different formats. However, despite their success in data storage, schema-less databases are a major obstacle in areas requiring precise knowledge of this schema, especially in the field of data integration. Method: This study presents a Systematic Literature Review (SLR) to explore, evaluate, and discuss relevant existing research and endeavors using novel schema extraction approaches. Furthermore, we conducted this study using a well-defined methodology to examine and study the problem of schema extraction from NoSQL databases. Results: Our research results highlight and emphasize the scheme extraction approaches and provide knowledge to researchers and practitioners by proposing schema extraction approaches and their limitations, which contributes to inventing new, more efficient approaches. Conclusion: In our future work, inspired by the recent advances in quantum computing and the emergence of post-quantum cryptography (PQC), we aim to propose a schema extraction approach that blends cutting-edge technologies with a strong focus on database security.

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MDA Process to Extract the Data Model from Document-oriented NoSQL Database

Cited by 4 publications

References 0 publications

New Structural and Semantic Transformation of Relational Databases to MongoDB

New Structural and Semantic Transformation of Relational Databases to MongoDB

Extraction process of conceptual model from a document-oriented NoSQL database

Schema Extraction in NoSQL Databases: A Systematic Literature Review

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