Change Data Capture (CDC) with Debezium Training Course

Introduction

• Overview of Debezium Features and Architecture
• Change Data Capture (CDC) use cases
  • Data replication
  • Updating / invalidating a cache
  • Updating search indexes
  • Data synchronization in microservices

Setup and Installation

• Setting up the Development Environment
• Conventional installation approach.
• Using Docker and Debezium container images.

Getting Started

• Choosing the database
• Starting Zookeeper
• Starting Kafka
• Starting the connector service
• Registering the connector
• Configuring serialization, routing, message filtering, signals, etc.

Working with the Database

• How data capture works
• Understanding event streams
• Working with database topologies (standalone, clusters, etc.)

Debezium in Action

• Inserting, updating, and deleting a record
• Purging a cache
• Updating search indexes
• Generating derived views and data
• Syncing data sources

Other Implementations

• Debezium Server
• Embedded Debezium

Working with Debezium API

• Understanding the Debezium engine
• Working with the debezium-api module
• Handling dependencies
• Working with messages

Troubleshooting

Summary and Conclusion