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Workflow Playbook

Database Schema Migration

Plan a safe database migration by normalizing source data, reviewing schema changes, validating relationships, and preparing rollback assets.

Start here

New to this workflow? Follow the steps in order, starting with the first tool below. Already know what you need? Jump straight to the matching step — every tool in this workflow is listed in the comparison table.

First tool: XLSX Unpivot Normalizer

Hubs

Tools in this workflow, compared

ToolWhat it doesCategory
XLSX Unpivot NormalizerUnpivot wide tables (e.g., month columns) into normalized long-form records for database ingestionFormat Conversion
CSV to Database Migration PlannerInfer a relational schema from CSV data and generate create-table plus ALTER migration plans for PostgreSQL, MySQL, SQLite, or SQL ServerData Processing
Table Schema GeneratorGenerate SQL table schema definitionsDevelopment
Database Schema DiffCompare two database schemas and generate migration-oriented change reportsDevelopment

Hubs

Continue with adjacent topic clusters

Foreign Key Validator
Validate foreign key relationships between multiple datasets. Perfect for checking data integrity, finding orphaned records, and ensuring referential consistency across related tables. Features: - Validate foreign key relationships - Find orphaned records - Check referential integrity - Support multiple key formats - Cross-table validation - Missing key detection - Duplicate key analysis - Relationship mapping Common Use Cases: - Database integrity checks - Data migration validation - ETL process verification - Referential consistency checks - Data quality assurance - Relationship analysis
Data Processing
Multi-Table JoinerMerge and join multiple tables with various join types (inner, left, right, full)Data Processing
Database Migration GeneratorGenerate SQL migration scripts for database schema changesDevelopment
SQL FormatterFormat SQL queriesDevelopment
Database Backup GeneratorGenerate SQL backup scripts for database tablesDevelopment

Goal and scope

Plan a safe database migration by normalizing source data, reviewing schema changes, validating relationships, and preparing rollback assets.
Use this guide to turn the stated scope into a reviewable result. Keep the source, intermediate outputs, and decisions together so the next person can understand what was checked and why.

Prepare evidence and make decisions

  • Source CSV or Excel exports are available.

  • Target database naming and constraint rules are known.

  • Migration scope and downtime expectations are agreed.

  • Decision: Normalize report-shaped data before modeling tables.. Normalize report-shaped data before modeling tables.

  • Decision: Stop when foreign-key validation finds orphaned rows.. Stop when foreign-key validation finds orphaned rows.

  • Decision: Approve execution only after backup and SQL review.. Approve execution only after backup and SQL review.

Complete the workflow

1. Normalize source records

Flatten repeated spreadsheet groups into stable records and identify the tables that must be migrated. Use xlsx-unpivot-normalizer, csv-to-database-migration-planner.

2. Design and compare the target schema

Generate target tables, then compare them with the current schema to expose renamed fields, removed columns, and constraint changes. Use table-schema-generator, database-schema-diff.

3. Validate relationships and prepare execution

Check joins and foreign keys, generate the migration script, format it for review, and create a backup before approval. Use data-foreign-key-validator, multi-table-joiner, database-migration-generator, sql-formatter, database-backup-generator.

Verify the result before handoff

  • Each source table has a documented target mapping.
  • Schema differences and destructive changes are reviewed.
  • Prepared data passes foreign-key validation.
  • Formatted SQL and a backup are ready before execution.

Common questions

  • When should source data be normalized? Normalize before modeling when exports contain repeated column groups, pivots, or reporting layouts.
  • Why compare schemas before generating SQL? A schema diff reveals destructive changes and makes review scope explicit.
  • Is a backup needed for generated SQL? Yes. Unexpected duplicates or constraint timing can still make valid-looking SQL fail.

Before you start

  • Source CSV or Excel exports are available.
  • Target database naming and constraint rules are known.
  • Migration scope and downtime expectations are agreed.

Workflow playbook

Safe Database Schema Migration Review

  1. 1

    Normalize source records

    Flatten repeated spreadsheet groups into stable records and identify the tables that must be migrated.

  2. 2

    Design and compare the target schema

    Generate target tables, then compare them with the current schema to expose renamed fields, removed columns, and constraint changes.

  3. 3

    Validate relationships and prepare execution

    Check joins and foreign keys, generate the migration script, format it for review, and create a backup before approval.

Choose the right path

Normalize report-shaped data before modeling tables.

Normalize report-shaped data before modeling tables.

Stop when foreign-key validation finds orphaned rows.

Stop when foreign-key validation finds orphaned rows.

Approve execution only after backup and SQL review.

Approve execution only after backup and SQL review.

Done when

  • Each source table has a documented target mapping.
  • Schema differences and destructive changes are reviewed.
  • Prepared data passes foreign-key validation.
  • Formatted SQL and a backup are ready before execution.
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Format Conversion

XLSX Unpivot Normalizer

Unpivot wide tables (e.g., month columns) into normalized long-form records for database ingestion

Data Processing

CSV to Database Migration Planner

Infer a relational schema from CSV data and generate create-table plus ALTER migration plans for PostgreSQL, MySQL, SQLite, or SQL Server

Development

Table Schema Generator

Generate SQL table schema definitions

Development

Database Schema Diff

Compare two database schemas and generate migration-oriented change reports

Data Processing

Foreign Key Validator

Validate foreign key relationships between multiple datasets. Perfect for checking data integrity, finding orphaned records, and ensuring referential consistency across related tables. Features: - Validate foreign key relationships - Find orphaned records - Check referential integrity - Support multiple key formats - Cross-table validation - Missing key detection - Duplicate key analysis - Relationship mapping Common Use Cases: - Database integrity checks - Data migration validation - ETL process verification - Referential consistency checks - Data quality assurance - Relationship analysis

Data Processing

Multi-Table Joiner

Merge and join multiple tables with various join types (inner, left, right, full)

Development

Database Migration Generator

Generate SQL migration scripts for database schema changes

Development

SQL Formatter

Format SQL queries

Development

Database Backup Generator

Generate SQL backup scripts for database tables