What is change data capture, and when is Debezium a better producer than your app?
PICTURE THIS: DATABASE INDEX
Simple meaning
CDC reads the database transaction log and emits row changes as Kafka events, so you cannot forget to publish after a commit.
WHY — Kafka instead of guessing?
Why interviewers care about Kafka:
who only read docs from people who shipped.
and tied to Backend work.
Name the idea, why it exists, then one short example.
End with when you use it and one common pitfall.
STEPS — What happens step by step?
Before you speak the answer, walk the interviewer through these steps:
- 1CDC reads the database
transaction log and emits row changes as Kafka events, so you cannot forget to publish after a commit.
- 2It is ideal when
many producers already write SQL and you need a reliable stream.
- 3You still need a
schema strategy and you must handle snapshots, deletes, and tombstones.
- 4Give an example
One tiny concrete case you can say aloud.
- 5Common mistake
What juniors usually get wrong.
- 6Close
When you pick this over the alternative.
EXAMPLE — See it in action
Here's a short line you can speak, broken into clear beats:
Note: Adapt this scaffold to your own project — keep it under 60–90 seconds.
Key takeaway
CDC reads the database transaction log and emits row changes as Kafka events, so you cannot forget to publish after a commit. It is ideal when many producers already write SQL and you need a reliable stream.