Description: The watermark strategy in stream data processing refers to an approach used to manage the temporality and consistency of events. In real-time data processing systems, events may arrive out of order or with delays, complicating the task of maintaining accuracy in analytical operations. The watermark acts as a temporal indicator that allows the system to know up to what point events have been processed, thus facilitating the management of time windows and the execution of aggregation operations. This strategy is crucial for ensuring that results are accurate and representative, even in environments where data flows continuously and at high speed. Watermarks can be generated automatically or manually, and their implementation can vary depending on the specific needs of the data stream and business logic. In summary, the watermark strategy is a fundamental tool in stream processing frameworks that enables more robust and efficient data processing, ensuring that applications relying on real-time data can operate effectively and reliably.
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