The old method: migrate data, then verify that it has arrived correctly.

This sequence has the problem that you don’t have anything to compare it against. You are validating the post-migration states against your memory of how they looked before migration, which is an extremely forgiving standard.

What works is to establish a baseline for data integrity before migration begins — a snapshot of what is there, in what condition, and in what volume. This allows validation post-migration to be a comparison, rather than an impression.

This changes the meaning of “validation passed”. It means “everything looks good” instead of “everything matches our baseline before we touched anything.”

This is a new level of confidence. In environments where data integrity is not just an IT concern, but a compliance requirement or operational requirement as well, the difference can be significant.

#Migration #DataValidation #CloudMigration