Katta hajmdagi ma’lumotlarni (Big Data) qayta ishlash uchun tahliliy tizim yaratish
DOI:
https://doi.org/10.5281/zenodo.19927052Keywords:
Big Data, tahliliy tizim, Data Lake, ETL, monitoring, analitika, web-ilova.Abstract
Nowadays, with the development of digital technologies, vast amounts of data are being generated across various fields. Processing this systems that ensure the data using traditional methods is becoming increasingly difficult. Therefore, the creation of modern analytical collection, storage, processing, and analysis of large datasets has become a pressing issue. This article discusses the architecture and practical implementation of an analytical system designed for collecting and processing big data. Additionally, mechanisms for data collection, processing, and visual monitoring are examined using a web-based monitoring interface as an example.
References
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5. Kleppmann M. Designing Data-Intensive Applications. O’Reilly Media, 2017.
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Copyright (c) 2026 Ilkhom Abdullaev
This work is licensed under a Creative Commons Attribution 4.0 International License.
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). Authors retain copyright and grant the journal the right to first publication. The license permits others to share, adapt, and build upon the work as long as appropriate credit is given to the original author(s) and the source.