CDC & ETL

From Claude with some prompting
Here’s the interpretation of the image explaining CDC (Change Data Capture) and ETL (Extract, Transform, Load) processes. The diagram is divided into three main sections:

1. Top Section:

• Shows CDC/ETL process from “For Operating” database to “For Analysis” database.

2. Middle Section (CDC):

• Illustrates the Change Data Capture process
• Shows how changes C1 through C5 are detected and captured
• Key features:
  • Realtime processing
  • Sync Duplication
  • Efficiency

3. Bottom Section (ETL):

• Demonstrates traditional ETL process:
  • Extract
  • Transform
  • Load
• Processing characteristics:
  • Batch process
  • Data Transform
  • Data Integrate

The diagram contrasts two main approaches to data integration:

1. CDC: Real-time approach that detects and synchronizes changes as they occur
2. ETL: Traditional batch approach that extracts, transforms, and loads data

This visualization effectively shows how CDC provides real-time data synchronization while ETL handles data in batches, each serving different use cases in data integration strategies.