Data and analytics · Stream processing

With Watermark Strategy

In Spanish: Con Estrategia de Marca de Agua
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Updated: 09/11/2026Reading: 1 min

Description

The watermark strategy in data stream 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 delayed, which can complicate the task of maintaining accuracy in analysis operations. The watermark acts as a temporal indicator that allows systems to know to what extent events have been processed, thus facilitating the management of time windows and the execution of aggregation operations. This strategy is crucial to ensure 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 may vary according to the specific needs of the data stream and the business logic. In summary, the watermark strategy is a fundamental tool in data processing that allows for more robust and efficient processing, ensuring that applications relying on real-time data can operate effectively and reliably.

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