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Authors: Cristofer Zdepski ; Tarcizio Alexandre Bini and Simone Nasser Matos

Affiliation: Federal Technological University of Parana, Brazil

Keyword(s): NoSQL, Database Design, Polyglot Persistence, Logical Level Design.

Related Ontology Subjects/Areas/Topics: Data Engineering ; Databases and Data Security ; Databases and Information Systems Integration ; Enterprise Information Systems ; Large Scale Databases ; Non-Relational Databases

Abstract: The emergence of NoSQL databases has greatly expanded database systems in both storage capacity and performance. To make use of these capabilities many systems have integrated these new data models into existing applications, making use of multiple databases at the same time, forming a concept called ”Polyglot Persistence”. However, the lack of a methodology capable of unifying the design of these integrated data models makes design a difficult task. To overcome this lack, this paper proposes a modeling methodology capable of unifying design patterns for these integrated databases, bringing an overview of the system, as well as a detailed view of each database design.

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Paper citation in several formats:
Zdepski, C.; Bini, T. and Matos, S. (2018). An Approach for Modeling Polyglot Persistence. In Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-298-1; ISSN 2184-4992, SciTePress, pages 120-126. DOI: 10.5220/0006684901200126

@conference{iceis18,
author={Cristofer Zdepski. and Tarcizio Alexandre Bini. and Simone Nasser Matos.},
title={An Approach for Modeling Polyglot Persistence},
booktitle={Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2018},
pages={120-126},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006684901200126},
isbn={978-989-758-298-1},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - An Approach for Modeling Polyglot Persistence
SN - 978-989-758-298-1
IS - 2184-4992
AU - Zdepski, C.
AU - Bini, T.
AU - Matos, S.
PY - 2018
SP - 120
EP - 126
DO - 10.5220/0006684901200126
PB - SciTePress