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hi Iamp;#39;m Wade from confluent in this video weamp;#39;ll be discussing how to work with keyed State and Flink weamp;#39;ve been focusing on stateless operations so far these operations treat each message as independent they donamp;#39;t worry about past or future messages however there have been some exceptions the reduce operator looks at the previous message and combines it with the current message to produce something new but reduces a relatively simple operation and is only looking at two adjacent messages what if we wanted to do something more complex that involved a deeper history letamp;#39;s consider the example of fraud detection if youamp;#39;ve ever had your credit card temporarily denied due to an odd pattern in spending youamp;#39;ll know what I mean credit card fraud detection doesnamp;#39;t look for a single transaction instead it looks for patterns in the transactions for example making a single small purchase to test the card followed by a series of
