What is CDC and how does it work post it’s implemented.
Change Data Capture(CDC) - It records changes to the data in a relational database management system.
It captures insert, update, and delete operations applied to database tables and makes these changes available in a structured and timely manner.
To implement CDC,
Used in , Real-time Data Integration, Auditing and Compliance, Efficient Data Replication(without effecting transaction tables)
**Change Data Capture (CDC)** is a method to track changes in a database so that actions can be taken based on those changes. It's essential for data consistency, synchronization, and real-time analytics.### Implementation Methods: 1. **Database Triggers:** - **Pros:** Immediate change capture.- **Cons:** Can affect performance.2. **Log-Based CDC:** - **Pros:** Minimal performance impact, scalable.- **Cons:** Complex setup.3. **Timestamp-Based CDC:** - **Pros:** Simple implementation.- **Cons:** Requires schema changes, less efficient.4. **Difference-Based CDC:** - **Pros:** No continuous monitoring.- **Cons:** Not real-time, higher storage needs.### Use Case: Real-time Data Synchronization**Scenario:** A retail company synchronizes online and in-store inventory in real time.**Implementation:** 1. **Setup CDC Tool:** Install and configure a CDC tool (e.g., Debezium) to monitor sales and inventory tables. 2. **Data Streaming:** Stream captured changes to a message broker like Apache Kafka. 3. **Data Consumption:** A consumer service reads from Kafka and updates the other database. 4. **Monitoring:** Regularly monitor the CDC process for issues.### Benefits: - **Real-time synchronization** ensures data consistency. - **Scalability** handles high transaction volumes. - **Minimal performance impact** with log-based methods.