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Checkpoints and Recovery | Apache Flink 101

► TRY THIS YOURSELF: https://cnfl.io/apache-flink-101-modu... Flink relies on snapshots of the state it is managing for both failure recovery and for handling operational tasks, such as rescaling, or migrating state during an application upgrade. This video explains the differences between two types of snapshots -- checkpoints and savepoints -- and presents an example of how they work. For a complete IMMERSIVE HANDS-ON EXPERIENCE: https://cnfl.io/apache-flink-101-modu... -- 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 #kafka #streamprocessing #confluent