DISTRIBUTED APPLICATION DEVELOPMENT AND REAL-TIME DATA PROCESSING: POWERING MODERN SOFTWARE SYSTEMS
Keywords:
Distributed Systems, Real-Time Data Processing, Microservices Architecture, Cloud Computing, IoTAbstract
This article explores the transformative impact of distributed application development and real-time data processing on modern software engineering. It examines the rapid growth of these technologies, driven by increasing demands for high-performance computing and real-time data analysis across various industries. The article delves into key components of distributed systems, including microservices architecture, APIs, and data management, as well as core concepts of real-time data processing, such as stream processing, event-driven architecture, and latency management. It further investigates these technologies' wide-ranging applications and impacts in cloud computing, e-commerce, social media, financial services, IoT, and healthcare. It highlights their role in driving innovation, efficiency, and enhanced user experiences.
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