Migrate Data Formats: Step-by-Step Guide for Production Data Migrations
Migrate production data between formats: plan the migration, run a dual-write period, validate output, and cut over without downtime or data loss.
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Tags: data, migration, engineering
Migrate Data Formats: Step-by-Step Guide for Production Data Migrations Production data migrations fail for predictable reasons: the schema audit happens too late, there's no validation step before cutover, and there's no tested rollback path. This guide is a complete playbook — from auditing your existing format through running a dual-write period to cutting over cleanly. Every step has working code. Phase 1: Audit Your Existing Format Before writing a single line of transformation code, fully characterize your data. You need to know: Total record count Null rates per field Type inconsistencies (field sometimes string, sometimes int) Encoding issues (UTF-8? Latin-1? Mixed?) Outliers (max field length, deepest nesting level) For JSON/NDJSON files: For CSV files: For relational data (SQL):…
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