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Watermarks in Stream Processing Systems: Semantics and Comparative Analysis of Apache Flink and Google Cloud Dataflow

Summary: Defines watermarks as a principled tool for temporal completeness in unbounded streams, enabling correct results, dip detection, and timely garbage collection. Equivalent watermark implementations in Apache Flink vs Google Cloud Dataflow, with implications for correctness and latency. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12518
Venue
VLDB
Year
2021
Pagerank
4.9322174e-05
Overall Rank
6,767 | 52.93%
DOI
10.14778/3476311.3476389

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