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Understanding Watermarks

Watermarks are crucial for tracking the completeness of processed event data, allowing for a more accurate distinction between event and processing time. They help avoid unnecessary latency by adapting to late data, while triggers enable timely updates based on processing time. The conversation also delves into the architecture of event streaming, highlighting how individual sources define their own watermarks and contribute to a global system watermark.