Designing Scalable Data Pipelines for Real-Time Big Data Analytics in Cybersecurity

Abstract

The rapid growth of data generated by cybersecurity systems necessitates the development of scalable data pipelines that can handle real-time big data analytics. This paper explores the design considerations and implementation strategies for scalable data pipelines in the context of cybersecurity. We discuss various architectural patterns, technologies, and tools used to ensure that these pipelines can process large volumes of data efficiently and deliver timely insights for threat detection and response.