Data Migration Prep
Convert data formats, validate against schema expectations, and compare source vs target datasets to ensure migration accuracy.
When to Use This Workflow
Prepare data for migration between systems by converting formats, validating structure, and comparing before/after datasets.
Workflow Steps
JSON to CSV Converter
Convert source data from JSON to CSV (or vice versa) for target system compatibility
JSON Formatter
Validate and pretty-print JSON schema to verify data structure before import
Diff Checker
Compare source and target data exports to identify missing or changed records
Download Workflow Template
Frequently Asked Questions
How do I prevent data loss during migration?
Follow a three-step process: 1) Convert format, 2) Validate structure matches the target schema, 3) Diff compare the source and migrated data to catch any missing or corrupted records.
What data formats are supported for conversion?
This workflow covers JSON to CSV conversion (the most common migration format). You can also use the JSON Formatter to validate XML-to-JSON conversions or any structured data.
Should I migrate data in batches or all at once?
For datasets over 10,000 records, migrate in batches of 1,000-5,000. Use the Diff Checker after each batch to verify integrity before proceeding.