Step 06 of 8 1-2 weeks· advanced
Step 6: Validate Parity
Verify the target has the same data as the source — beyond just counts. Investigate any drift before cutover.
Recommended prompts
Use one of these to do the work in your IDE
Open the template to read it in full. Click Copy prompt to grab it (with your stack values pre-filled where they apply) — then paste into Claude Code, Cursor, or wherever you build.
Recommended skills
Drop these into Claude Code for this phase
Skills auto-trigger on the right kind of request. Install once; they apply to every prompt that fits.
Recommended MCP configs
Wire these tools into Claude Code first
MCP servers give Claude Code direct access to external systems (Jira, browsers, databases). Configure once.
When you're done
Verify these in your own work before moving on
This is a checklist for you to mentally tick off in your repo and IDE — the site doesn't track it, you do.
- All Level 1-7 validations passed (counts, sums, distributions, FK integrity, spot checks, time-windowed reconciliation, business invariants)
- Drift report shows zero unexplained differences
- Validation can be re-run on demand
- Performance comparison done (top 20 queries on both engines)
Common pitfalls
What goes wrong at this step
- Validating only counts — counts can match while individual rows are corrupted
- Skipping the spot-check — sample rows reveal field-level translation bugs
- Accepting "small" drift — 5 missing rows out of 9M might be 5 missing customer orders
- No business invariant checks — sums of related tables (e.g., line items vs order totals) catch issues other checks miss