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How to Implement Change Data Capture(CDC) with Kafka Connect, Debezium and Elasticsearch
To kick off this article, let’s dive into the problem we’re aiming to solve.
Problem Statement:
In my current setup, I’m using a PostgreSQL database and need to capture every data change — whether it’s an insert, update, or delete — occurring in a particular table. Beyond just capturing these changes, I want the ability to search and visualize the details in a user-friendly way, through a portal like Kibana. The goal is to have a system where I can track and explore these changes without directly interacting with the database, allowing for real-time insights and easier analysis.
This is just one of many use cases where capturing event streams from Change Data Capture (CDC) can be valuable. CDC allows us to monitor data changes in real-time and leverage that information for a variety of purposes, such as analytics, auditing, or syncing with other systems, enabling more flexible and powerful data handling strategies across applications.
Now, let’s discuss the solution and delve into the various components involved in addressing this challenge, along with the relevant concepts that underpin them.
