Abstract
In this work, we propose HerM (Heterogeneous Distributed Model), a NoSQL data modeling approach which supports the use of multiple heterogeneous NoSQL systems in a distributed environment. We define the conceptual elements necessary for data modeling, and we identify optimized data distribution patterns. We implemented a flexible framework, where we deployed our proposed modeling strategies and that we evaluated comparing our approach against native the NoSQL data distribution methodology provided by the NoSQL databases MongoDB.
This work was achieved at LRI Paris-Saclay University.
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Hewasinghage, M., Seghouani, N.B., Bugiotti, F. (2018). Modeling Strategies for Storing Data in Distributed Heterogeneous NoSQL Databases. In: Trujillo, J., et al. Conceptual Modeling. ER 2018. Lecture Notes in Computer Science(), vol 11157. Springer, Cham. https://doi.org/10.1007/978-3-030-00847-5_35
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DOI: https://doi.org/10.1007/978-3-030-00847-5_35
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