loading
Papers

Research.Publish.Connect.

Paper

Authors: Fatma Abdelhedi 1 ; Amal Ait Brahim 2 ; Faten Atigui 3 and Gilles Zurfluh 2

Affiliations: 1 Toulouse Capitole University and CBI2 – TRIMANE, France ; 2 Toulouse Capitole University, France ; 3 CEDRIC-CNAM, France

ISBN: 978-989-758-247-9

Keyword(s): Big Data, NoSQL, UML Conceptual Model, MDA, QVT.

Related Ontology Subjects/Areas/Topics: Databases and Information Systems Integration ; Enterprise Information Systems ; Non-Relational Databases

Abstract: NoSQL data stores are becoming widely used to handle Big Data; these systems operate on schema-less data model enabling users to incorporate new data into their applications without using a predefined schema. But, there is still a need for a conceptual model to define how data will be structured in the database. In this paper, we show how to store Big Data described by conceptual model within NoSQL systems. For this, we use the Model Driven Architecture (MDA) that provides a framework for models automatic transformation. Starting from a conceptual model describing a set of complex objects, we propose transformation rules formalized with QVT to generate NoSQL physical models. To ensure efficient automatic transformation and to limit the impacts related to technical aspects of NoSQL systems, we propose a generic logical model that is compatible with the three types of NoSQL systems (column, document and graph). We provide experiments of our approach using a case study related to the hea lth care field. The results of our experiments show that the proposed logical model can be effectively transformed into different NoSQL physical models independently of their specific details. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.207.137.4

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Abdelhedi, F.; Brahim, A.; Atigui, F. and Zurfluh, G. (2017). Logical Unified Modeling for NoSQL Databases.In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-247-9, pages 249-256. DOI: 10.5220/0006311702490256

@conference{iceis17,
author={Fatma Abdelhedi. and Amal Ait Brahim. and Faten Atigui. and Gilles Zurfluh.},
title={Logical Unified Modeling for NoSQL Databases},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2017},
pages={249-256},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006311702490256},
isbn={978-989-758-247-9},
}

TY - CONF

JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Logical Unified Modeling for NoSQL Databases
SN - 978-989-758-247-9
AU - Abdelhedi, F.
AU - Brahim, A.
AU - Atigui, F.
AU - Zurfluh, G.
PY - 2017
SP - 249
EP - 256
DO - 10.5220/0006311702490256

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.