A New Algorithm for Storing and Migrating Data Modelled by Graphs





Graph schema, NoSQL, Document database, Object-Relational database, MongoDB


NoSQL databases have moved from theoretical solutions to exceed relational databases limits to a practical and indisputable application for storing and manipulation big data. In term of variety, NoSQL databases store heterogeneous data without being obliged to respect a predefined schema such as the case of relational and object-relational databases. NoSQL solutions surpass the traditional databases in storage capacity; we consider MongoDB for example, which is a document-oriented database capable of storing unlimited number of documents with a maximal size of 32TB depending on the machine that runs the database and also the operating system. Also, in term of velocity, many researches compared the execution time of different transactions and proved that NoSQL databases are the perfect solution for real-time applications. This paper presents an algorithm to store data modeled by graphs as NoSQL documents, the purpose of this study is to exploit the high amount of data stored in SQL databases and to make such data usable by recent clustering algorithms and other data science tools. This study links relational data to document datastores by defining an effective algorithm for reading relational data, modelling those data as graphs and storing those data as NoSQL documents.

Author Biographies

Zakariyaa Ait El Mouden, Moulay Ismail University

Zakariyaa Ait El Mouden received his Msc in Computer Science and Distributed Systems from Ibn Zohr University, Agadir, Morocco. He is currently working toward his PhD degree in the faculty of Sciences and Techniques of Errachidia, Moulay Ismail University, Meknes, Morocco. His research interests include machine learning, NoSQL and spectral clustering

Abdeslam Jakimi, Moulay Ismail University

Abdeslam Jakimi is a Professor in the Faculty of Sciences and Techniques of Er-chidia, Moulay Ismail University, Meknes, Morocco. He received his PhD in Com-puterScience and Telecommunications in 2009 from theMohamed V University, Rabat, Morocco. His current research interests include requirements engineering, user interface prototyping and design transformations, scenario engineering and big data.




How to Cite

Ait El Mouden, Z., & Jakimi, A. (2020). A New Algorithm for Storing and Migrating Data Modelled by Graphs. International Journal of Online and Biomedical Engineering (iJOE), 16(11), pp. 137–152. https://doi.org/10.3991/ijoe.v16i11.15545