Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Vol 7 No 10 (2023): Volume 7, Issue 10, October 2023 | Pages: 366-370
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 02-11-2023
The fusion of cloud computing with big data analytics has emerged as a catalyst for transformative insights and operational efficiency in a data-driven environment. The study investigates the function of cloud computing in the context of big data analytics, outlining its importance, potential, and constraints. It demonstrates the development of cloud computing platforms and the services they provide for storing, processing, and analyzing data. In addition, it explores the broad spectrum of big data analytics tools, platforms, and methodologies, highlighting the scalability and adaptability they accomplish in cloud contexts. This study explores the distinct benefits and difficulties that arise as firms progressively move their analytical workloads to the cloud, examining crucial factors including security, compliance, and cost- effectiveness. The article examines the transformative effects of cloud-based big data analytics on several industries, from healthcare to finance, revealing creative solutions and predictive capabilities. It does this by drawing conclusions from real-world case studies.
Cloud Analytics, Big Data Cloud, Platform Comparison, Data-driven Decisions, Security Assessment, Cloud Services, Business, Insights, Performance Evaluation
Prof. K.P.Raghuvanshi, Pranali Ganjare, Gauri Wakekar, Rutuja Bambal, “Cloud Computing for Big Data Analytics: A Comparative Evaluation” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 10, pp 366-370, October 2023. Article DOI https://doi.org/10.47001/IRJIET/2023.710049
This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence