Model Driven Extraction of NoSQL Databases Schema: Case of MongoDB

Amal Brahim, Rabah Ferhat, Gilles Zurfluh

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.

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