Want a clearer, more repeatable way to implement change data capture? In this on-demand video guide, Ramesh Panakkal, Technical Account Manager, walks through how to build CDC patterns in WhereScape, using SQL Server as the example, with principles that can be applied more broadly across CDC tools and environments.
Rather than relying on brittle scripts or piecing together logic manually, this session shows you how to structure full loads, delta loads, staging, and target processing in a way that is practical, scalable and easier to maintain.
You’ll learn how to:
- Understand how CDC tracks inserts, deletes, and update before and after images.
- Work with SQL Server CDC tables, metadata, operation types, and start_lsn values.
- Use high watermark logic to drive delta processing.
- Switch cleanly between full load and incremental load patterns.
- Build load tables for source and CDC data.
- Use staging to sort records and support Type 1 and Type 2 target patterns.
- Manage current-state and historical tracking in your target structures.
- Schedule micro-batches around purge windows to avoid missing changes.
- Design a more resilient CDC process with periodic refreshes as a safety net.
If CDC is on your roadmap, or you want a better way to operationalize it, this video guide is just for you. It can help you avoid the trial-and-error that often slows projects down and gives you a practical pattern you can adapt in your own environment.
Watch the video guide now.
