The Emergence and Development Stages of Big Data in the Kyrgyz Republic
DOI:
https://doi.org/10.65469/eijournal.2026.3.10Keywords:
Big Data, data analysis, Python, EDA, SQL, Power BI, Tableau, telecommunicationsAbstract
The relevance of this article is determined by the rapid growth of the digital economy and the need for effective processing of large data volumes. The purpose is a comprehensive analysis of the emergence, development stages, and practical application of Big Data in the Kyrgyz Republic. The methodology includes systematic analysis, synthesis, and comparative-historical methods. The article examines the theoretical foundations of Big Data, the 5V model (Volume, Velocity, Variety, Veracity, Value), and three development stages in Kyrgyzstan: 2000–2010, 2010–2018, and 2018 to the present. Results confirm positive outcomes in banking, telecommunications, and public administration. It is established that insufficient technical infrastructure and a lack of qualified specialists are the key challenges hindering the development of Big Data in Kyrgyzstan.
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