From the course: Stream Processing Design Patterns with Kafka Streams

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Execute and analyze

Execute and analyze

- [Instructor] In this video, we will execute the exercise, use case pipeline and review the results. Let me start the website, use analytics pipeline, now. We can see that the KAFKA use data generator is pushing click stream events to KAFKA and printing messages for the same. The data is received by the pipeline and transformed. The transform content is printed to the console. In addition, we can also see the topics Databoat correctly updated as data keeps streaming into the pipeline. Next, we can also see that the five second summary records by users are getting printed correctly. This use case is an example of combining multiple patterns to solve a business problem. We could have also returned the summary to MariaDB database or sent it to an output KAFKA stream. This can be changed with other patterns like alerts and thresholds. This completes our discussions on the use case example for the course.

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