Series Overview
Change Data Capture marks a fundamental evolution in data integration, moving away from the latent, resource-intensive world of batch processing and into the dynamic paradigm of real-time streaming. By capturing individual data changes as they occur, CDC provides a mechanism to keep disparate systems synchronized with minimal impact and sub-second latency. This technology is a strategic enabler, unlocking real-time analytics and forming the backbone of resilient, modern data architectures.
Start with the fundamentals. Understand what Change Data Capture is and why it’s a cornerstone of modern data architecture through real-world use cases.
CDC Pipeline Architecture
How Change Events Flow
Click any node to highlight its connections. Hover for details.
graph LR
SRC[Source Database] -->|Transaction Log| LOG[WAL / Binlog / Redo]
LOG -->|Read| CONN[CDC Connector]
CONN -->|Emit Events| SMT[Transforms]
SMT -->|Publish| STREAM[Streaming Platform]
STREAM -->|Consume| SINK[Target System]
style SRC fill:#e1f5ff
style CONN fill:#fff3cd
style STREAM fill:#d4edda
style SINK fill:#f8d7da
Interactive: click a node to highlight its path through the pipeline.