UNDERSTANDING REAL-TIME DATA PIPELINES: ARCHITECTURE, IMPLEMENTATION, AND TECHNOLOGIES
DOI:
https://doi.org/10.34218/IJCET_16_01_151Keywords:
Real-time Data Processing, Pipeline Architecture, Stream Processing, Data Integration, Cloud ComputingAbstract
This article presents a comprehensive analysis of real-time data pipelines, examining their architecture, implementation strategies, and the evolving technology ecosystem. The article shows how modern organizations are leveraging real-time data processing to transform their operations and decision-making capabilities. Through detailed examination of current implementations across various industries, the article demonstrates how real-time pipelines have evolved from traditional batch processing to become critical infrastructure components. The article explores the fundamental building blocks of these systems, including data ingestion, processing, storage, and visualization capabilities, while highlighting the importance of integration points and system monitoring. Special attention is given to emerging technologies and implementation strategies that enable organizations to achieve optimal performance and reliability. The article also addresses crucial aspects of system architecture, including scalability, fault tolerance, and performance optimization, while examining how cloud services and advanced streaming platforms are shaping the future of data processing. Furthermore, the article provides insights into industry adoption patterns, implementation challenges, and future trends, offering valuable guidance for organizations seeking to implement or optimize their real-time data processing capabilities.
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Copyright (c) 2025 Amber Chowdhary (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
