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Migration from an SQL to a hybrid SQL/NoSQL data model

Author

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  • Marina V. Sokolova
  • Francisco J. Gómez
  • Larisa N. Borisoglebskaya

Abstract

The paper presents a redesign of a database management system for a retail business company. Initially, based on a traditional data model, it is migrated to a hybrid model which combines both SQL and NoSQL databases. This approach adds flexibility, mobility, and efficiency to the data management system. The NoSQL database uses an ontology as a data schema, which we describe in this study. The NoSQL database is consulted using the SPARQL query language, and some examples of the queries are detailed in the paper. The architecture of the system and its functionality are discussed.

Suggested Citation

  • Marina V. Sokolova & Francisco J. Gómez & Larisa N. Borisoglebskaya, 2020. "Migration from an SQL to a hybrid SQL/NoSQL data model," Journal of Management Analytics, Taylor & Francis Journals, vol. 7(1), pages 1-11, January.
  • Handle: RePEc:taf:tjmaxx:v:7:y:2020:i:1:p:1-11
    DOI: 10.1080/23270012.2019.1700401
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    Cited by:

    1. Benedict Bender & Clementine Bertheau & Tim Körppen & Hannah Lauppe & Norbert Gronau, 2022. "A proposal for future data organization in enterprise systems—an analysis of established database approaches," Information Systems and e-Business Management, Springer, vol. 20(3), pages 441-494, September.

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