Ingestion Time Processing
Ingestion Time Processing is a data processing paradigm where data is processed immediately as it is ingested or received into a system, rather than being stored first for batch processing later. It enables real-time or near-real-time analytics, monitoring, and decision-making by handling data streams on-the-fly. This approach is commonly used in event-driven architectures, IoT applications, and streaming data platforms to provide low-latency insights.
Developers should learn and use Ingestion Time Processing when building systems that require immediate data analysis, such as fraud detection, real-time monitoring dashboards, or live recommendation engines. It is essential for applications where timely insights are critical, such as in financial trading platforms or IoT sensor networks, to enable quick responses to incoming data without the delay of batch processing.