The Ultimate Data Migration Checklist

Moving data between systems is one of the most high-stakes tasks in software engineering. One missing comma or an incorrectly escaped quote can corrupt thousands of records.

Pre-Conversion Verification

• [ ] Type Consistency: Ensure columns don't have mixed types (e.g., numbers vs 'N/A' strings).
• [ ] Null Representation: Decide if 'null' should be an empty string, the word 'null', or omitted entirely.
• [ ] Standardized Dates: Use ISO 8601 (YYYY-MM-DD) for maximum compatibility.

Post-Conversion Audit

After you convert using our Pro tool, check the Row Count displayed. This should match your spreadsheet exactly. If it's off by one, check for trailing empty lines or headers being treated as data.

Automation Ready

By converting to JSON, you enable your data to be processed by CI/CD pipelines, validation scripts, and automated import tools that understand schema validation.