It's Time We Talked About Time: Exploring Watermarks (And More) In Flink SQL
Read OriginalThis technical article delves into handling time in stream processing systems like Apache Flink and Kafka. It explains key concepts like event time vs. processing time, the challenges of out-of-order data, and the role of watermarks for accurate windowed operations in Flink SQL. It also examines how timestamps are managed in Kafka messages.
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