New Structural and Semantic Transformation of Relational Databases to MongoDB

Abstract

Currently, data and its exploitation play a very important role in the life of individuals and organizations, without forgetting that through data management tools these organizations store their data history, which guides them at the operational and strategic levels. Considering the explosion of data at huge sizes, the old relational system has several shortcomings in managing this information, which justifies the need for data migration to NoSQL systems, which manage BigData efficiently. In this sense, this article fits to find a new transformation of relational databases to MongoDB, as a wellchosen NoSQL system for this transformation. This article presents the problem of this transformation, so that it can be discussed based on related works, then enlightened by presenting the storage philosophy and the semantics of the two systems source and destination of this transformation, which will be chained by our approach which defining a set of transformation rules to keep the same data and advantages of relational systems under a structure adequate to the concept of MongoDB and finally our conclusion of this work.