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Big Data Management and NoSQL Databases

Author

Listed:
  • Simona-Vasilica Oprea

    (The Bucharest University of Economic Studies, Romania)

  • Adela Bara

    (Academy of Romanian Scientists, Romania)

  • Niculae Oprea

    (“Politehnica” University of Bucharest, Romania)

Abstract

In this paper, we aim to showcase the general context, characteristics of NoSQL, data management using NoSQL database and an exemplification in MongoDB. Moreover, organization and management of large volumes of data (Big Data), the trend in the field of advanced database systems and business intelligence will be depicted in this research. The large volumes of data in various fields of activity require adequate management in order to gain a competitive advantage or to achieve the quality of decisions. Various fields generate large volumes of data, such as: consumerism and home devices, smart infrastructure, security and surveillance, healthcare system, transportation, retail and industrial sectors, others.

Suggested Citation

  • Simona-Vasilica Oprea & Adela Bara & Niculae Oprea, 2023. "Big Data Management and NoSQL Databases," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 466-475, August.
    • Handle: RePEc:ovi:oviste:v:xxiii:y:2023:i:1:p:466-475
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    More about this item

    Keywords

    database; NoSQL; big data; relational DB;
    All these keywords.

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access

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