Startable: Multidimensional Modelling for Column-Oriented NoSQL

Leandro Ferreira, Solange Alves-Souza, Luciana Maria da Silva, Luciana Maria da Silva

2022

Abstract

NoSQL Database Management Systems (DBMS) can be an alternative for analytical systems and have been used in this regard. As analytical systems often use multidimensional data modelling, which was created for relational databases, a new logical data modelling is necessary for NoSQL Column-Oriented Databases. We developed logical modelling (Startable) and applied NoSQL oriented to the family of columns. Furthermore, a logical model for the application of Startable modelling is presented in this research and a benchmark where the performance of the proposed modelling is demonstrated compared to traditional approaches to multidimensional modelling.

Paper Citation

in Harvard Style

Ferreira L., Alves-Souza S. and Maria da Silva L. (2022). Startable: Multidimensional Modelling for Column-Oriented NoSQL. In Proceedings of the 11th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-583-8, pages 21-30. DOI: 10.5220/0011142100003269

in Bibtex Style

@conference{data22,
author={Leandro Ferreira and Solange Alves-Souza and Luciana Maria da Silva},
title={Startable: Multidimensional Modelling for Column-Oriented NoSQL},
booktitle={Proceedings of the 11th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2022},
pages={21-30},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011142100003269},
isbn={978-989-758-583-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - Startable: Multidimensional Modelling for Column-Oriented NoSQL
SN - 978-989-758-583-8
AU - Ferreira L.
AU - Alves-Souza S.
AU - Maria da Silva L.
PY - 2022
SP - 21
EP - 30
DO - 10.5220/0011142100003269