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hey David from confluent here now Iamp;#39;m going to tell you about one of my favorite parts of Flink time is a crucial aspect of many stream processing applications especially those doing analytics or pattern matching for example you might be looking for accounts that have attempted to log in five or more times in the past minute use cases like this need support for both state which is used for counting and time Flink distinguishes between event time and processing time or as it is sometimes called wall clock time as an event is being processed these two different Notions of time are relevant event time is the time when the event was originally created or recorded while processing time is the time later on when the event is being processed event time is generally preferred because it is consistent and working with it should produce deterministic results but processing time can be simpler to work with and so it is sometimes chosen for that reason when working in event time it