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Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Katta hajmdagi ma'lumotlarni (Big Data) qayta ishlash uchun tahliliy tizim yaratish

Authors: Aminov, Bahrom; Urunova, Xilola;

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

Abstract

Bugungi kunda raqamli texnologiyalar rivojlanishi natijasida turli sohalarda juda hajmdagi ma'lumotlar shakllanmoqda. Ushbu ma'lumotlarni oddiy usullar bilan qayta ishlash tobora qiyinlashib bormoqda. Shu sababli katta hajmdagi ma'lumotlarni yig'ish, saqlash, qayta ishlash va tahlil qilishni ta'minlaydigan zamonaviy tahliliy tizimlarni yaratish dolzarb masalaga aylanmoqda. Mazkur maqolada katta hajmdagi ma'lumotlarni yig'ish, qayta ishlashga mo'ljallangan tahliliy tizimning arxitekturasi va amaliy realizatsiyasi yoritiladi. Shuningdek, tizimning web-asosidagi monitoring interfeysi misolida ma'lumotlarni yig'ish, qayta ishlash va vizual nazorat qilish mexanizmlari ko'rib chiqiladi. Original journal page: https://cajii.com/index.php/cajii/article/view/22

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Keywords

Big Data, tahliliy tizim, Data Lake, ETL, monitoring, analitika, web-ilova.

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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