Course Code: debezium
Duration: 14 hours
Prerequisites:

Audience

  • An understanding of database concepts
  • Experience with software development concepts
  • Developers
  • Database professionals
Overview:

Course Customization Options

Format of the Course

By the end of this training, participants will be able to:

Debezium is an open source distributed platform for capturing database changes. Debezium operates as a connector service between a database and applications that wish to process changes to the database.

This instructor-led, live training (online or onsite) is aimed at engineers who wish to enable applications to continuously monitor and stream all commits made to their database.

  • Install and configure ZooKeeper, Kafka, and the Debezium connector service.
  • Set up applications to automatically consume and respond to database inserts, updates, and deletes.
  • Turn database row-level changes into event streams that applications can respond to immediately.
  • Stream each row-level change in the same order that it was committed to the database.
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
  • To request a customized training for this course, please contact us to arrange.
Course Outline:

Debezium in Action

Getting Started

Introduction

Other Implementations

Setup and Installation

Summary and Conclusion

Troubleshooting

Working with Debezium API

Working with the Database

  • Choosing 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 works
  • Understanding event streams
  • Working with database topologies (standalone, clusters, etc.)
  • Inserting, updating, and deleting a record
  • 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 / invalidating a cache
    • Updating search indexes
    • Data synchronization in microservices
  • Setting up the Development Environment
  • Conventional installation approach.
  • Using Docker and Debezium container images.
  • Understanding the Debezium engine
  • Working with the debezium-api module
  • Handling dependencies
  • Working with messages
Sites Published:

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