Confluent Developer ft. Tim Berglund, Adi Polak & Viktor Gamov cover image

Apache Kafka Fundamentals: The Concept of Streams and Tables ft. Michael Noll

Confluent Developer ft. Tim Berglund, Adi Polak & Viktor Gamov

00:00

The Life of a Kafka Consumer

Kafka stores messages in a durable and potentially permanent way. It's not like an ephemeral queue where we're just trying to hold things for a little bit so we can get back to them. Kafka allows you to read data in parallel and lets you scale the processing, which includes consumption but also producing new events that you derive from your original data.

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