Autors: Furnadzhiev, R. F., Shopov, M. S., Babanova, M. B.
Title: AUATOMATED PROCESS FOR MIGRATION FROM A RELATIONAL DATABASE MANAGEMENT SYSTEM TO NOSQL
Keywords: relational database, NoSQL, automated data migration

Abstract: Driven by the exponential growth of heterogeneous real-time data and the scalability demands of advanced fields such as Intelligent Transportation Systems (ITS), contemporary database management is steadily shifting from relational systems (RDBMS) toward NoSQL data stores. However, manual database migration remains a complex and error-prone process due to the lack of a unified transformation framework. To address this gap, this paper proposes a technology-agnostic, automated four-stage migration pipeline comprising relational metadata extraction, workload-driven schema transformation based on query logs, parallelized bulk data transfer, and a self-correcting verification loop. Each stage is formally conceptualized through detailed pseudocode, integrating schema-mapping, query-mapping, and optional middleware techniques into a unified process.

References

  1. Furnadzhiev, R. Shopov, M. Babaova, M., 2026, AUTOMATED PROCESS FOR MIGRATION FROM A RELATIONAL DATABASE MANAGEMENT SYSTEM TO NOSQL, МЕЖДУНАРОДНА НАУЧНА КОНФЕРЕНЦИЯ „МЕХАТРОНИКА, ЕКО И ЕНЕРГОСПЕСТЯВАЩИ СИСТЕМИ И ТЕХНОЛОГИИ“, Volume 1, pp. 307-312

Issue

INTERNATIONAL SCIENTIFIC CONFERENCE „MECHATRONIC, ECO- AND ENERGY SAVING SYSTEMS AND TECHNOLOGIES“, vol. 1, issue 1, pp. 338, 2026, Bulgaria, UNIVERSITY PUBLISHING HOUSE “V. APRILOV” – GABROVO, 2026, ISSN 2815-4924

Copyright UNIVERSITY PUBLISHING HOUSE “V. APRILOV” – GABROVO, 2026

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Вид: публикация в международен форум