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1
Intro
2
Change Data Capture
3
CDC Use Cases (3/3)
4
How to Capture Changes?
5
Database Logs
6
Using Apache Kafka as Basis
7
Kafka Connect
8
CDC Message Structure
9
Initial Snapshots
10
Debezium Connectors (2/2)
11
Operating a Connector
12
Message Transformations
13
Trying It Out Yourself
14
Outlook
15
Summary
16
Resources
Description:
Explore change data capture (CDC) and its implementation using Debezium in this 51-minute Devoxx conference talk. Learn about CDC use cases, including updating caches, synchronizing microservices data, and maintaining CQRS read models. Discover how Debezium captures changes from MySQL, PostgreSQL, and MongoDB databases, and how to react to change events in near real-time. Understand Debezium's design for ensuring data correctness and completeness, even in failure scenarios. Dive into topics such as database logs, Apache Kafka integration, Kafka Connect, CDC message structure, initial snapshots, Debezium connectors, and message transformations. Get hands-on guidance for trying out Debezium yourself and gain insights into future developments in the field.

Streaming Database Changes with Debezium

Devoxx
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