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Course Outline

Debezium in Practice

Getting Started

Introduction

Alternative Implementations

Setup and Installation

Summary and Conclusion

Troubleshooting

Utilising the Debezium API

Working with the Database

  • Selecting the database.
  • Starting Zookeeper.
  • Starting Kafka.
  • Starting the connector service.
  • Registering the connector.
  • Configuring serialization, routing, message filtering, signals, etc.
  • Debezium Server.
  • Embedded Debezium.
  • How data capture operates.
  • Understanding event streams.
  • Working with database topologies (standalone, clusters, etc.).
  • Inserting, updating, and deleting records.
  • Purging a cache.
  • Updating search indexes.
  • Generating derived views and data.
  • Syncing data sources.
  • Overview of Debezium Features and Architecture.
  • Change Data Capture (CDC) use cases.
    • Data replication.
    • Updating or invalidating a cache.
    • Updating search indexes.
    • Data synchronization in microservices.
  • Setting up the Development Environment.
  • Traditional installation approach.
  • Using Docker and Debezium container images.
  • Understanding the Debezium engine.
  • Working with the debezium-api module.
  • Handling dependencies.
  • Working with messages.

Requirements

Target Audience

  • Knowledge of database concepts.
  • Familiarity with software development principles.
  • Developers.
  • Database professionals.
 14 Hours

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