Kafka

This presentation explores the power of Change Data Capture (CDC) to transform your database into a real-time event source. We dive into the architecture of Debezium, how it leverages PostgreSQL’s logical decoding, and how to build resilient data pipelines. Key Highlights: Understanding Logical Decoding in Postgres. Debezium Connector configuration. Streaming data to Apache Kafka. Real-world use cases for CDC. 🚀 View Presentation (Best viewed on desktop. Use arrow keys or spacebar to navigate slides.)

Upcoming talk at Postgres MetroPlex Dallas — April 2026 What is CDC? Change Data Capture (CDC) is a set of software design patterns used to determine and track the data that has changed so that action can be taken using the changed data. Instead of traditional polling (which is slow and adds load to the database), CDC allows us to stream every INSERT, UPDATE, and DELETE as it happens, with sub-second latency. ...

In the world of modern data architectures, Change Data Capture (CDC) has become a cornerstone for building reactive, event-driven systems. At the heart of this movement is Debezium, a distributed platform that turns your existing databases into event streams. Joining the Stream In July 2020, I had the opportunity to contribute to the Debezium project. My involvement came at a time when I was deeply immersed in building real-time data pipelines and realized the power of capturing row-level changes without overloading the source databases. ...