Change Data Capture and Data Ingestion with Debezium and MySQL

Modern data-driven businesses require immediate access to database changes as they happen. Change Data Capture (CDC) allows you to stream these updates instantly without taxing your primary database, enabling real-time analytics and seamless data synchronization. This course provides a solid foundation in using Debezium to bridge the gap between your MySQL database and your broader data ecosystem. You will gain the skills to configure, manage, and scale CDC pipelines for production-ready environments. By reading through practical explanations and code-based examples, you will transform from a beginner into a practitioner capable of handling complex data ingestion workflows. What you'll learn: - Understand the fundamental principles of Change Data Capture and event-driven architectures. - Configure Debezium connectors to monitor MySQL binlogs and capture row-level changes. - Transform and filter data streams to ensure only relevant information reaches your consumers. - Implement modern observability practices to monitor the health and latency of your data pipelines. - Apply schema evolution strategies to handle database changes without breaking downstream services. - Deploy Debezium in both standalone and containerized environments for scalable data ingestion. The course begins with core definitions and the architecture of distributed data streaming. You will then progress through the technical requirements of MySQL for CDC and move into practical implementation details, including performance tuning and error handling. This course is designed for aspiring data engineers, database administrators, and software developers who are new to Change Data Capture. No prior experience with Debezium is required, though a basic understanding of SQL and database concepts is helpful. Start building your first real-time data stream today.