Change Data Capture (CDC)

This section provides code examples for implementing Change Data Capture patterns with Delta Lake.

Overview

Change Data Capture enables tracking and processing of data changes for incremental data pipelines.

Contents

• Change Data Capture - CDC implementation patterns and examples

Key Concepts

CDC Patterns

• Merge operations for upserts
• Delete detection and handling
• Change tracking queries
• Time travel for auditing

Use Cases

• Data warehouse incremental loads
• Real-time data synchronization
• Audit trail maintenance
• Data replication

Related Resources

• Delta Lake Overview
• Auto Loader
• Table Optimization