What is stream processing with Kafka?
Stream processing with Kafka involves real-time data processing using Kafka's distributed messaging system.
How does Kafka handle data streams?
Kafka handles data streams by using topics to categorize data, allowing producers to send messages and consumers to read them.
What are the benefits of using Kafka for stream processing?
The benefits include high throughput, scalability, fault tolerance, and the ability to process data in real-time.
Can you give me an example of a use case for Kafka?
Sure! A common use case is processing log data in real-time for monitoring and alerting.
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