Kafka Streams Hands-On

The video tutorial guides viewers through setting up a Kafka Streams application to filter tweets based on user follower count. It covers setting up dependencies, creating a Java class, building a topology, implementing filtering logic, and running the application. The tutorial provides a practical demonstration of using Kafka Streams to process and filter data, offering a foundational understanding of stream processing with Kafka.

What is the first step to create a new module in the Kafka Beginners course?

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What dependencies need to be included for Kafka Streams?

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Describe the purpose of the 'streams builder' in Kafka Streams.

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What is the significance of the 'input topic' in the Kafka Streams application?

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How do you filter tweets based on user followers in Kafka Streams?

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Explain how to handle exceptions when retrieving user follower counts from JSON.

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What is the final output topic name for filtered tweets in the Kafka Streams application?

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How do you create a Kafka Streams application using the streams builder?

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What is the expected outcome when the Kafka Streams application is executed?

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What steps are involved in running the Kafka producer and consumer for the application?

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