How the Amazon TimeHub team designed a recovery and validation framework for their data replication framework: Part 4

This article details the Amazon TimeHub team's custom data validation framework built on top of AWS Database Migration Service (AWS DMS) to maintain data integrity during database replication. The key aspects of their solution include:

• Using standalone validation tasks instead of ongoing replication validation
• Creating a custom revalidation framework to eliminate false positives
• Implementing hourly scheduled revalidation jobs to check logged validation errors
• Developing manual correction processes for data discrepancies
• Using table-level filters with audit columns to validate partial data efficiently

The framework addresses limitations in AWS DMS validation, such as false positives, restart challenges, and handling complex data replication scenarios, ensuring robust data integrity during database migrations.