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The tutorial discusses watermarking in structured streaming applications. It explains that Spark maintains state based on aggregation, using the example of word count. The longer state is maintained, the higher memory requirement. A mechanism is needed to not process old data further. It addresses the question of how old data can be before it is no longer processed.