A Deep Dive Into Ingesting Debezium Events From Kafka With Flink SQL - Gunnar Morling #326
Replies: 1 comment 1 reply
|
Excellent saving it for weekend playbook |
1 reply
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Uh oh!
There was an error while loading. Please reload this page.
A Deep Dive Into Ingesting Debezium Events From Kafka With Flink SQL - Gunnar Morling
Over the years, I’ve spoken quite a bit about the use cases for processing Debezium data change events with Apache Flink,
such as metadata enrichment, building denormalized data views, and creating data contracts for your CDC streams.
One detail I haven’t covered in depth so far is how to actually ingest Debezium change events from a Kafka topic into Flink,
in particular via Flink SQL.
Several connectors and data formats exist for this, which can make things somewhat confusing at first.
So let’s dive into the different options and the considerations around them!
https://www.morling.dev/blog/ingesting-debezium-events-from-kafka-with-flink-sql/
All reactions