
Kafka Schema Evolution: A Guide to the Confluent Schema Registry
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Learn Kafka Schema Evolution: Understand, Manage & Scale Data Streams with Confluent Schema Registry. Essential for Data Engineers & Architects.
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Schema evolution is the process of managing changes to the structure of data over time. In Kafka, it means handling the modifications to the format of the messages being produced and consumed in Kafka topics. As applications and business requirements evolve, the data they generate and consume also change. These changes must be managed carefully to ensure compatibility between producers and consumers of the data.
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