Database Migration Resource Hub

Automate schema changes with version control and integrate migration scripts into your CI/CD pipeline. Test continuously in a staging environment and ensure regular database backups for easy rollback.

Use data validation checks, data profiling, and a data modeling tool to ensure data integrity. Compare checksums between source and target and run tests post-migration to confirm accuracy.

Review stored procedures and triggers for platform-specific differences. Test them on the target DBMS to ensure functionality, and optimize any outdated code for better performance. Be aware that platform changes may have large performance impacts.

Identify differences early, convert character sets with tools or scripts, and run tests to ensure compatibility. Special attention to encoding helps avoid data corruption.

Use phased migrations, real-time replication, or blue-green deployments to reduce downtime. Sync data continuously and switch over during off-peak hours.

Use APM tools to monitor performance, optimize query execution, and adjust configurations like memory allocation and indexing based on real-time data.

Encrypt sensitive data during migration and ensure strong access controls. Outside of the data migration initiative, all sensitive information should be reviewed and both data masking & data encryption strategies applied where necessary. Additionally, regularly audit user permissions to maintain security.

Avoid insufficient planning, poor testing, and scope creep. Test everything in a sandbox environment and ensure proper rollback procedures are in place.

Prioritize essential change requests, document decisions, and communicate regularly with the team. Defer non-critical changes to avoid scope creep and delays.