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Title:Event Time and Watermarks | Apache Flink 101
Duration:11:58
Viewed:8,759
Published:24-05-2023
Source:Youtube

► TRY THIS YOURSELF: https://cnfl.io/apache-flink-101-module-1 Flink jobs can measure time using either the system clock (processing time), or timestamps in the events (event time). Operations that use event time need some way to determine how long to wait for the stream to be complete before taking an action, such as closing a window. This video explains how Flink uses watermarks to address this need. For a complete IMMERSIVE HANDS-ON EXPERIENCE: https://cnfl.io/apache-flink-101-module-1 -- ABOUT CONFLUENT Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion – designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. To learn more, please visit www.confluent.io. #flink #streamprocessing #confluent #kafka #apachekafka



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