Apache Kafka - Real-time Stream Processing (Master Class) - Kafka Producer - Final Note and References

The lecture covers advanced Kafka producer API concepts, including synchronous send, producer callback, custom partitioner, and Avro Serializer with Schema Registry. It explains the importance of handling message failures, custom partitioning for scalability, and efficient serialization using Avro. The lecture concludes with references for further reading.

How does the Kafka producer API ensure message delivery?

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What is the significance of implementing a callback method in Kafka producer API?

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What are the advantages of using Avro Serializer over JSON Serializer?

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What challenges arise from schema evolution in Kafka, and how can they be managed?

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