Apache Kafka - Real-time Stream Processing (Master Class) - Count on KTable

The video tutorial explains how to perform count, reduce, and aggregate operations on K streams and K tables. It introduces a problem statement involving counting persons by age using Kafka topics. The tutorial highlights the differences between K table and K stream aggregation, emphasizing the importance of handling updates in K tables. It demonstrates the use of group by and count methods to achieve the desired results and concludes with a preview of the next lecture on the aggregate method.

What are the differences between K table aggregate and K stream aggregate?

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Describe how the count method works in the context of K table aggregation.

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