Day 10 of 14 30 minSource connectorsSink connectorsCDC
Move data between Kafka and other systems with configuration instead of code. Learn how source and sink connectors work, why change data capture (CDC) beats polling a table, and how to run connectors with error handling.
By the end of today you can
- Explain what Kafka Connect, workers, source connectors and sink connectors are
- Compare polling a table with change data capture (CDC)
- Describe a Debezium change event
- Keep a downstream copy (such as a search index) in sync from CDC events
- Configure a connector with error handling and a dead-letter topic
What's inside
- 5 sections
- 2 diagrams and mind maps
- 3 code examples you can run
- 5-question quiz
- 1How Connect works
- 2Source option 1: polling a table
- 3Source option 2: change data capture (CDC)
- 4Sink: keep a copy in sync
- 5Real Kafka: creating connectors
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