BIG DATA LANDSHAFTINING HOZIRGI HOLATI VA TEXNOLOGIYALARI
Keywords:
Big Data, sun’iy intellekt, tabiiy tilni qayta ishlash (NLP), edge computing, IoT, bulut texnalogiyasi, blokcheyn, kvant hisoblash., Big Data, artificial intelligence, natural language processing (NLP), edge computing, IoT, cloud technology, blockchain, quantum computing.Abstract
Hozirgi kunda Big Data texnologiyalari biznes, ilm-fan va kundalik hayotning ajralmas qismiga aylanib bormoqda. Ma'lumotlar hajmi eksponensial ravishda oshib borar ekan, ularni qayta ishlash, saqlash va tahlil qilish uchun ilg‘or texnologiyalar zarur. Ushbu maqolada Big Data landshaftining hozirgi holati, yetakchi texnologiyalar va ularning amaliyotdagi qo‘llanilishiga e’tibor qaratiladi va uning landshaftini shakllantiradigan texnologik yutuqlarni o'rganadi. Shuningdek, Big Data tez-tez qanday qo'llanilishini ko'rsatadi va uning traektoriyasini belgilaydigan kelajakdagi potentsial tendentsiyalarni taxmin qiladi.
Today, Big Data technologies are becoming an integral part of business, science and everyday life. As the volume of data grows exponentially, advanced technologies are needed to process, store and analyze it. This article focuses on the current state of the Big Data landscape, leading technologies and their applications in practice, and explores the technological advances that are shaping its landscape. It also shows how Big Data is often used and predicts potential future trends that will shape its trajectory.
References
FOYDALANILGAN ADABIYOTLAR:
1. Reddy, S. R. B. (2023). Digital Transformations Theoretical Investigation On The Basis Of Smart Government Initiatives. Tuijin Jishu/Journal of Propulsion Technology, 44(4), 3894-3901.
2. Chen, Y., Chen, H., Gorkhali, A., Lu, Y., Ma, Y., & Li, L. (2016). Big data analytics and big data science: a survey. Journal of Management Analytics, 3(1), 1-42.
3. https://www.avenga.com/magazine/trends-and-future-forecasts-in-big-data/
4. Онаркулов, М. К. (2024). ИНТЕГРАЦИЯ НЕЙРОННЫХ СЕТЕЙ В РАСПОЗНАВАНИИ РЕЧИ И РАЗРАБОТКА НОВЫХ МЕТОДОВ. ОБРАЗОВАНИЕ НАУКА И ИННОВАЦИОННЫЕ ИДЕИ В МИРЕ, 47(7), 193-197.
5. Онаркулов, М. К., угли Юсупов, М. А., & угли Умиржонов, Л. А. (2023). ПРИМИНЕНИЕ НЕЙРОННЫХ СЕТЕЙ В РАСПОЗНАВАНИИ РЕЧИ. Educational Research in Universal Sciences, 2(3), 1206-1210.
6. Onarkulov, M., & Nabijonov, A. (2024). DB2: KATTA HAJMDAGI MA’LUMOTLARNI SAMARALI BOSHQARISH. Инновационные исследования в науке, 3(5), 99-104.
7. Onarkulov, M., & G'oyibova, G. (2024). SQL SERVER ILOVASIDA UNIVERSAL MODELNI QO'LLASH VA KONVERTATSIYA ETISHNING SAMARALI YO'LLARI. Академические исследования в современной науке, 3(18), 147-152.
8. Karimberdiyevich, M. O. (2024). RBF TURLARINING O ‘QITISH ALGORITMI VA XOR MASALASI. worldly knowledge conferens, 8(1), 176-180.
9. Karimberdiyevich, M. O. (2024). GAUSS FUNKSIYASI. worldly knowledge conferens, 8(1), 239-244.
10. Karimberdiyevich, O. M. (2024). SQL TILIDA PROTSEDURA VA FUNKSIYALARDAN FOYDALANISHNING AHAMIYATI. worldly knowledge conferens, 8(1), 145-148.
11. Karimberdiyevich, O. M. (2024). BIR QATLAMLI NEYRON TO’RLARI VA ULARNI YARATISH USULLARI. IQRO INDEXING, 9(2), 104-108.
12. Onarkulov, M., & Omonaliyeva, E. (2024). QARORLAR DARAXTI VA UNI KIRITISH ALGORITIMI. Science and innovation in the education system, 3(6), 66-73.
13. Onarkulov, M., & Isaqova, S. (2024). NEYROCHIPLAR, MAXSUS MATRITSALI KUCHAYTIRGICHLAR VA NEYROEMULYATORLAR. Science and innovation in the education system, 3(6), 52-58.
14. Karimberdiyevich, M. O. (2024). EKSPERT TIZIMLARI YARATISH VA ULARNING MUAMMOLARI. ILM-FAN YANGILIKLARI KONFERENSIYASI, 2(1), 123-126.
15. Onarkulov, M., & Meliboyeva, A. (2024). HEMMING NEYRON TOʻRLAR VA ULARNING ARXITEKTURASI. Current approaches and new research in modern sciences, 3(4), 177-181.
16. Onarkulov, M., & Satinova, G. (2024). NEYRON TO ‘RLARIDA FAOLLASHTIRISH FUNKSIYALARI. Theoretical aspects in the formation of pedagogical sciences, 3(8), 26-30.
