Description: Event time semantics in real-time data processing frameworks refers to the rules and behaviors of event processing based on their timestamps. This semantics is crucial to ensure that events are processed in the correct order and at the right time. Event time semantics allows developers to define how events should be handled based on their timestamps, which is essential for applications requiring high temporal precision, such as data stream analysis, fraud detection, and real-time system monitoring. These frameworks typically offer three types of time semantics: event time, processing time, and ingestion time. Event time refers to the moment an event occurs in the real world, while processing time refers to the moment an event is processed by the system. In contrast, ingestion time refers to the moment an event is received by the system. This flexibility in time semantics allows developers to tailor their applications to different latency and precision requirements, making real-time data processing frameworks powerful tools for handling complex data streams.
