Katta hajmdagi ma’lumotlarni (Big Data) qayta ishlash uchun tahliliy tizim yaratish

Authors

  • Bahrom Aminov Samarkand state pedagogical institute
  • Xilola Urunova Samarkand state pedagogical institute

DOI:

https://doi.org/10.5281/zenodo.19927052

Keywords:

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

1. Abdurahmonov O. Katta hajmdagi ma’lumotlarni qayta ishlashda tarqatilgan hisoblash texnologiyalari. Toshkent, 2022.

2. Axmedov S. va Boqijonov J. Katta ma’lumotlar: Big data va analitika. Toshkent (2019).

3. Inmon W. H. Building the Data Warehouse. John Wiley & Sons, 2005.

4. Ismoilov D. Ma’lumotlar bazalari va ularni boshqarish tizimlari. Toshkent (2020).

5. Kleppmann M. Designing Data-Intensive Applications. O’Reilly Media, 2017.

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Published

2026-04-30

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How to Cite

Aminov , B., & Urunova , X. (2026). Katta hajmdagi ma’lumotlarni (Big Data) qayta ishlash uchun tahliliy tizim yaratish. Central Asian Journal of Integrative Innovation, 1(2). https://doi.org/10.5281/zenodo.19927052

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