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Mastering Change Data Capture (CDC) in PostgreSQL with Logical Replication 🚀🛠️
The article provides a comprehensive guide to implementing Change Data Capture (CDC) in PostgreSQL using Logical Replication, covering setup, benefits, use cases, and limitations. It explains how to t
rack and replicate database changes in real-time using a publisher-subscriber model, with practical examples and considerations for scaling with tools like Apache Kafka.

Reasons to Read -- Learn:

  • how to implement real-time data synchronization in PostgreSQL using Logical Replication, with step-by-step configuration instructions and practical code examples.
  • four major use cases for Change Data Capture, including building real-time data pipelines, implementing event-driven architectures, performing zero-downtime database migrations, and maintaining audit trails.
  • limitations of PostgreSQL's logical replication and when to scale up to solutions like Apache Kafka, helping you make informed architectural decisions for your data infrastructure.
    • publisher: @priyanshu011109
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