How a Full Dry Run Before Data Migration Prevents Go-Live Failures

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A dry run involves loading all data into a sandbox environment and running reconciliation checks before a live migration, and it is considered the most critical pre-launch stage. Unlike sample loads, a full load exposes issues with data volume, timing, and rare edge-case values that only appear a few hundred times across millions of rows. Six checks must pass: row counts, value totals, orphan records, spot checks on real records, processability within live workflows, and integration with connected systems. Every issue uncovered must be logged with details on what broke, which records were affected, how it was fixed, and whether the fix has been built into the migration process. A dry run is not considered complete if any manual intervention was required, as undocumented fixes risk being missed during the actual go-live.

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