Explore the role of Event-Driven Architecture in real-time data processing, including streaming applications, event analytics, monitoring systems, data transformation, and integration with big data technologies.
Explore the concept of streaming in computing, its components, data flow, and real-world applications. Learn how streaming differs from batch processing and its evolution over time.
Explore strategies for ensuring consistency and reliability in streaming event-driven architectures, focusing on exactly-once semantics, idempotent processing, and state store consistency.