Year: 2024
Type: article
Abstract: This comprehensive article explores the architecture and implementation considerations for enterprise real-time analytics in cloud environments.The article examines key aspects of modern data processing systems, including data partitioning strategies, latency optimization techniques, cost-effective resource management approaches, and security architectures.It delves into the evolution of cloud computing as an enabler for real-time analytics, discussing how organizations can leverage advanced technologies to improve decision-making speed and operational efficiency.The article presents detailed analyses of various architectural patterns, from serverless computing to fault-tolerant designs, while addressing critical challenges in data volume management, security compliance, and system reliability.By examining contemporary research and industry practices, this guide provides insights into building resilient, high-performance analytics systems that can handle diverse workloads while Selvakumar Alagarsamy
Author: Selvakumar Alagarsamy
Institution: Wells Fargo (United States)
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4405799831