data_reconciliation_strategies

Name: data_reconciliation_strategies
Author: alirezarezvani

Data Reconciliation Strategies

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# Data Reconciliation Strategies

## Overview

Data reconciliation is the process of ensuring data consistency and integrity across systems during and after migrations. This document provides comprehensive strategies, tools, and implementation patterns for detecting, measuring, and correcting data discrepancies in migration scenarios.

## Core Principles

### 1. Eventually Consistent
Accept that perfect real-time consistency may not be achievable during migrations, but ensure eventual consistenc

How to Use

Recommended: Install to project (local)

mkdir -p .claude/skills
curl -o .claude/skills/data_reconciliation_strategies.md \
  https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/migration-architect/references/data_reconciliation_strategies.md

Skill is scoped to this project only. Add .claude/skills/ to your .gitignoreif you don't want to commit it.

Alternative: Clone full repo

git clone https://github.com/alirezarezvani/claude-skills

Then reference at engineering/migration-architect/references/data_reconciliation_strategies.md