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Metadata-driven data migration from object-relational database to nosql document-oriented database

Aggoune Aicha, Namoune Mohamed Sofiane

Computer Science

2022

T. 23 (4)

495--519

Object-relational databases (ORDB) are powerful tools for managing complex data, but they suffer from problems of scalability and managing large-scale data. Therefore, the importance of the migration of ORDB to NoSQL derives from the fact that the large volume of data can be handled in the best way with high scalability and availability. This paper reports a metadata-driven approach for the migration of ORDB to a document-oriented NoSQL database. Our data-migration approach involves three major stages: a pre-processing stage (to extract data and a schema’s components), a processing stage (to provide data transformation), and a post-processing stage (to store migrated data as BSON documents). This approach maintains the benefits of Oracle ORDB in NoSQL MongoDB by supporting integrity constraint checking. To validate our approach, we developed the OR2DOD (object relational to document-oriented database) system, and the experimental results confirm the effectiveness of our proposal.