Serverless Event-Driven Pipelines for Real-Time Financial Data Streaming and Decision Support Systems
Apoorva Jain · Journal of Quantum Science and Technology. · 2025
The rapid expansion of financial systems demands robust, low-latency data handling solutions to meet the needs of real-time decision-making. This paper explores serverless, event-driven architectures as a promising approach for financial data streaming and decision support systems. The research highlights the role of serverless computing in reducing infrastructure management overhead while providing scalability and near-instant data processing. We investigate various financial applications, including algorithmic trading, fraud detection, and real-time portfolio management, leveraging low-latency data pipelines. The paper provides insights into implementation methodologies, challenges, and the performance benefits of serverless architectures, concluding with recommendations for future work to improve financial system efficiencies.