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Best Practices for Confluent Schema Registry

Learn best practices for using Confluent Schema Registry, including understanding subjects and versions, pre-registering schemas, using data contracts, and more.


Introducing Tableflow

Learn about our vision for Tableflow, a new feature in private early access that makes it push-button simple to take Apache Kafka® data and feed it directly into your data lake, warehouse, or analytics engine as Apache Iceberg® or Delta Lake tables.


Schema Registry Clients in Action

Learn about the bits and bytes of what happens behind the scenes in the Apache Kafka producer and consumer clients when communicating with the Schema Registry and serializing and deserializing messages.


Data Products, Data Contracts, and Change Data Capture

Change data capture is a popular method to connect database tables to data streams, but it comes with drawbacks. The next evolution of the CDC pattern, first-class data products, provide resilient pipelines that support both real-time and batch processing while isolating upstream systems...


Extending the Confluent CLI With Custom Plugins

Confluent offers a powerful CLI that lets you quickly create and manage Apache Kafka® clusters and Apache Flink® compute pools and all associated operations with both. The CLI now supports plugins that allow for custom commands and creation of dynamic workflows and automation.


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