Anytime the user moves from one address to another, the changes made to the database are reflected via notification and shown on the courier's map in real time so they can act accordingly. One example is capturing user address changes in a real-time GPS-based delivery system where packages are sent to the user's current location or address. There are many practical use cases for implementing CDC in your Postgres database. Real-time data analytics and visualizations, notifications, and reporting and alerting systems are just a few potential use cases. Changes streamed to these applications may transform the data and be used for various purposes. The data changes captured ship to data warehouses or other applications that rely on the same data without necessarily having to directly grant access to the database to read or make modifications. Postgres provides multiple methods for implementing change data capture, including trigger-based CDC and its logical replication features. Postgres is a popular open-source database management system many organizations use for various data needs. It involves various technologies coming together as a system to perform their respective tasks in the entire process. Change data capture (CDC) is a system and process of continuously monitoring, identifying, and capturing changes made to data in a database in real time or near real time.
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