Real-Time Data Processing in the Cloud: An Inside Look at Streaming Analytics

Abstract

Organizations requiring instantaneous insights from continuously generated data streams are leveragingreal-time data processing in cloud environments for this purpose. Traditional batch processingarchitectures are typically designed for periodic interval-based computations. For industry applications necessitating millisecond-level responsiveness such as fraud detection, dynamic pricing, predictivemaintenance, and cybersecurity threat mitigation