Singh, Gagandeep (2025) Real-time event processing: Architecture and applications of modern data pipelines. World Journal of Advanced Engineering Technology and Sciences, 15 (2). pp. 1813-1822. ISSN 2582-8266
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Abstract
Real-time event processing represents a fundamental shift in how systems handle data, moving from traditional batch operations to instant analysis and response capabilities. This article explores the architecture and implementation of these dynamic systems through the accessible metaphor of a supercharged post office, where information travels and transforms with unprecedented speed. By examining the core components—events as information carriers, brokers as routing mechanisms, and processing engines as analytical powerhouses—readers will gain insight into how organizations leverage these technologies to create responsive, adaptive experiences. The discussion encompasses essential technology stacks, implementation patterns across industries, performance optimization techniques, and emerging trends that continue to shape this rapidly evolving field.
Item Type: | Article |
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Official URL: | https://doi.org/10.30574/wjaets.2025.15.2.0661 |
Uncontrolled Keywords: | Event-Driven Architecture; Stream Processing; Data Pipelines; Message Brokers; Real-Time Analytics |
Depositing User: | Editor Engineering Section |
Date Deposited: | 04 Aug 2025 16:40 |
Related URLs: | |
URI: | https://eprint.scholarsrepository.com/id/eprint/3917 |