Model Driven Extraction of NoSQL Databases Schema: Case of MongoDB
Amal Ait Brahim, Rabah Tighilt Ferhat, Gilles Zurfluh
2019
Abstract
Big Data have received a great deal of attention in recent years. Not only the amount of data is on a completely different level than before but also, we have different type of data including factors such as format, structure, and sources. This has definitely changed the tools we need to handle Big Data, giving rise to NoSQL systems. While NoSQL systems have proven their efficiency to handle Big Data, it’s still an unsolved problem how the extraction of a NoSQL database model could be done. This paper proposes an automatic approach for extracting a physical model starting from a document-oriented NoSQL database, including links between different collections. In order to demonstrate the practical applicability of our work, we have realized it in a tool using the Eclipse Modeling Framework environment.
DownloadPaper Citation
in Harvard Style
Brahim A., Ferhat R. and Zurfluh G. (2019). Model Driven Extraction of NoSQL Databases Schema: Case of MongoDB. In Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 1: KDIR; ISBN 978-989-758-382-7, SciTePress, pages 145-154. DOI: 10.5220/0008176201450154
in Bibtex Style
@conference{kdir19,
author={Amal Ait Brahim and Rabah Tighilt Ferhat and Gilles Zurfluh},
title={Model Driven Extraction of NoSQL Databases Schema: Case of MongoDB},
booktitle={Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 1: KDIR},
year={2019},
pages={145-154},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008176201450154},
isbn={978-989-758-382-7},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 1: KDIR
TI - Model Driven Extraction of NoSQL Databases Schema: Case of MongoDB
SN - 978-989-758-382-7
AU - Brahim A.
AU - Ferhat R.
AU - Zurfluh G.
PY - 2019
SP - 145
EP - 154
DO - 10.5220/0008176201450154
PB - SciTePress