Data Migration Checklist
A checklist for validating a data migration before and after cutover: profiling, field mapping, control totals, and post-migration reconciliation.
What's in it
- Before migration — Profile the source, map fields, and define the key.
- During migration — Sample first, and log every transformation.
- After migration — Row counts, control totals, and a source-vs-target diff.
A validation checklist for data migrations, the steps that catch silent data loss before and after cutover: profiling the source, agreeing the field mapping, defining the key, and reconciling row counts and control totals once the data lands.
Enter your email and we'll send the PDF. It's the checklist we'd want taped to the monitor during a migration.
How to use it
- 1
Profile and map before you move
Know the source's shape and the field mapping before touching the target.
- 2
Sample, then run
Migrate a sample and validate it before the full load.
- 3
Reconcile after cutover
Check counts and control totals, then diff a source export against a target export.
Frequently asked questions
Is it free?▾
Yes. Email it to yourself, no payment or account. We'll occasionally send useful content; unsubscribe anytime.
What kind of migrations is it for?▾
Any tabular data move: system-to-system, CSV imports, database migrations, or platform switches.
What format is it?▾
A PDF you can read on any device or print.
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