This article describes migrating an Oracle database with temporal tables to Amazon DynamoDB using DynamoDB Streams for change data capture.

• Customer had 4 core tables with 8 triggers populating 4 history tables, totaling 20GB database
• DynamoDB Streams captures item-level modifications in time-ordered sequence for up to 24 hours
• Streams support multiple capture depths: KEYS_ONLY, NEW_IMAGE, OLD_IMAGE, NEW_AND_OLD_IMAGES
• Lambda function moved stream entries to S3 for long-term audit storage and logging
• Application Load Balancer diverted traffic between Oracle and DynamoDB during parallel migration
• Migration eliminated 66% of secondary objects, reduced database size to 20% of original
• Separate security permissions for streams vs database improved architecture security
• DynamoDB TTL feature can automate file deletion without framework overhead

DynamoDB Streams eliminates need for triggers and history tables, reducing operational complexity while maintaining audit and logging capabilities with improved security segregation.