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Conference object . 2025
License: CC BY
Data sources: ZENODO
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Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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BIG DATA AND MODERN DATABASE SYSTEMS

Authors: Toshboyeva, Mahliyo;

BIG DATA AND MODERN DATABASE SYSTEMS

Abstract

Big Data technologies have become an integral component of modern information systems and play a significant role in data-driven decision-making processes. This article examines the concept of Big Data, its key characteristics, and its relationship with modern database systems. Special attention is paid to the limitations of traditional relational databases when handling large-scale data and the advantages of NoSQL and distributed database technologies. The article also analyzes practical applications of Big Data in various sectors and highlights the importance of efficient data storage, processing, and management. The study demonstrates that the integration of Big Data technologies with modern database systems enhances scalability, performance, and analytical capabilities in contemporary information environments.

Keywords

Big Data, database systems, DBMS, NoSQL, data processing, information systems, digital technologies.

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    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green