Implementing Change Data Capture (CDC) in MySQL: A Journey of Data Engineering Leader!
Change is the only constant, and in the data-driven world, nowhere is that more true than in the realm of databases. I’ve been working in the Tech industry for 13+ years now, and if there’s one thing I’ve learned, it’s that keeping up with ever-evolving data sources can be a constant battle. That’s why, when faced with the need to integrate real-time data from our MySQL database into our downstream analytics pipelines, I knew we needed a reliable and scalable solution. Enter Change Data Capture (CDC).
Change Data Capture (CDC) is a fundamental technique in data engineering that enables real-time replication of database changes. CDC is a game-changer for anyone who needs to react to changes in their database in real-time. It’s like having a watchful eye on your data, constantly monitoring for updates, inserts, and deletes. This real-time awareness allows you to trigger actions, update dashboards, and feed your analytics pipelines with the freshest data possible. In this article, I will share my experience, the technology stack we used, and provide code examples to illustrate the implementation process.
Choosing the Right Tools for the Job
With a plethora of CDC tools available, choosing the right one can be overwhelming. We…
