Data engineering for real-time processing, streaming analytics, and scalable decision intelligence
Srinivasarao Paleti · 2025
Data engineering emerges as a pivotal specialization within the broader landscape of computer engineering and computer science. This field's primary focus rests upon the careful design and optimization of data pipelines and architectures that serve the specific needs of a wide array of applications. These services span the realms of artificial intelligence, business intelligence, real time analytics, and other specialized domains. Nevertheless, the diversity of these use cases, with their heterogeneous requirements spanning a broad spectrum in terms of needs, scale, performance, and other supporting engineering metrics, entails that no one technology or solution is common across all these domains. Data applications display widely varying telemetry, at all levels of the technological stack (Gulisano et al., 2012; Akidau et al., 2015; Carbone et al., 2015).