Description: The watermarking strategy in stream processing systems refers to a systematic approach to defining how watermarks are generated and managed in a data stream. Watermarks are temporal signals that allow stream processing systems to handle latency and data desynchronization. In the context of stream processing, these marks are crucial for ensuring consistency and accuracy in event processing, especially in applications that require rigorous time handling, such as real-time event processing. The strategy involves deciding when and how these marks are emitted, which can influence how late events are handled and the system’s ability to perform time window processing. A good watermarking strategy can significantly improve the performance and reliability of stream processing applications, allowing developers to optimize data flow and minimize time-related errors. In summary, the watermarking strategy is an essential component in the design of stream processing applications, as it helps manage the complexity of time in dynamic data environments.