Modeling Strategies for Storing Data in Distributed Heterogeneous NoSQL Databases

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Authors: Francesca Bugiotti, Moditha Hewasinghage, Nacéra Bennacer Seghouani

Tags: 2018, conceptual modeling

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.

Read the full paper here: https://link-springer-com.proxy2.hec.ca/chapter/10.1007/978-3-030-00847-5_35