Data migration is moving data from one system, format or location to another while keeping it complete and correct. Typical cases are legacy database replacements and moves to the cloud.
Data quality is how well data fits its intended use, judged on qualities such as accuracy, completeness, consistency, timeliness, validity and uniqueness. Teams track it with automated checks, for example flagging duplicate customer records or missing order dates before they reach a finance report.
A rollback is the act of returning a system to a previous known-good version after a release causes problems. It restores service quickly while the team investigates the cause.
Change data capture detects inserts, updates and deletes in a database and streams those changes to other systems. Targets stay in sync without repeated full reloads.
Cloud migration is the process of moving applications, data and infrastructure into a cloud environment. The source may be an on-premises data centre or another provider, and services must stay running and secure throughout.
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