BUSINESS INTELLIGENCE   DASTURLARINI BULUTGA KO’CHIRISH VA BULUTLI HISOBLASHNING ASOSIY VAZIFALARI

Hamza Eshankulov

Авторы

Hamza Eshankulov Buxoro davlat universiteti

Ключевые слова:

ETL, bulut, bulutli hisoblash, integratsiya, ETL arxitekturasi, ma’lumotlar tuzilmasi

Аннотация

Ushbu maqolada BI va bulutli tuzilmalarining o’zaro ishlashi va tarmoq integratsiyasining muhim elementlari, ikki tuzilma orasidagi munosabatlarni rivojlantirish bosqichlari keltirilgan. Bu hamkorlikbir nechta muhim vazifalarni amalga oshiradi. BI dasturlari va bulut tuzilmalari interfeysi, real-vaqt tahlil va havola qilish hamda bulutli ETL haqida to’liq ma’lumotlar keltirilgan.

Библиографические ссылки

L.-J. Zhang and Q. Zhou, “CCOA: Cloud Computing Open Architecture,” Proc. IEEE Int’l Conf. Web Services (ICWS 09), IEEE Press, 2009, pp. 607–616.

J. Voas and J. Zhang, “Cloud Computing: New Wine or Just a New Bottle?” IT Professional, Mar./Apr. 2019,pp. 15–17.

Mark Vanderwiele, “The IBM Research Cloud Computing Initiative”, Keynote talk at ICVCI 2008, RTP, NC, USA, 15–16 May 2008.

Khan, W. Z., Rehman, M. H., Zangoti, H. M., Afzal, M. K., Armi, N., & Salah, K. (2020). Industrial internet of things: Recent advances, enabling technologies and open challenges. Computers &electrical engineering, 81, 106522.

Usmanova, N., Abdujalilov, J., & Suyunov, A. (2019, November). Providing resources in Fog Computing infrastructure: considerations on performance

requirements. In 2019 International Conference on Information Science and Communications Technologies (ICISCT)(pp. 1-5). IEEE.

Jiwani, N., Gupta, K., & Whig, P. (2021, October). Novel healthcare framework for cardiac arrest with the application of AI usingANN. In 2021 5th international conference on information systems and computer networks (ISCON) (pp. 3-8). IEEE.

Gupta, K., Jiwani, N., Pau, G., & Alibakhshikenari, M. (2023). AMachine Learning Approach using Statistical Models for EarlyDetection of Cardiac Arrest in Newborn Babies in the Cardiac Intensive Care Unit. IEEE Access.

Mahmud, R., & Buyya, R. (2019). Modelling and simulation of fog and edge computing environments using iFogSim toolkit. Fog and edge computing: Principles and paradigms 1.

Suciu, G., Vulpe, A., Craciunescu, R., Butca, C., &Suciu, V. (2015,May). Big data fusion for eHealth and ambient assisted living cloud applications. In 2015 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom) (pp. 102-106)