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

The video tutorial discusses working with K Stream objects in Kafka, focusing on transformations like filter and map values. It highlights the need for a local state store when dealing with past information or groups of messages. The tutorial introduces K Table, an abstraction for creating tables in Kafka Streams, explaining its operations, including upsert and delete. The K Table acts as a key-value state store, allowing for CRUD operations. The video concludes with a promise of a practical example in the next lecture.

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