validate-integrity
CommunityValidate data integrity, ensure quality.
Data & Analytics#data quality#ETL#data validation#referential integrity#CERT environment#schema compliance#integrity checks
Authorpauljbernard
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill prevents the loading of corrupted or inconsistent data into your CERT (Certification/Test) environment, ensuring that your testing efforts are based on reliable and accurate datasets. It automates the critical quality gate before deployment.
Core Features & Use Cases
- Comprehensive Data Checks: Automatically validates schema compliance, referential integrity (foreign keys), uniqueness constraints, and domain-specific business rules across all data stores.
- Cross-Store Consistency: Verifies that related entities are consistent across different databases, preventing data silos and discrepancies.
- Use Case: After extracting and anonymizing a district's data, use this Skill to autonomously perform a full suite of data quality checks. If any critical errors are found, the migration process will halt, preventing bad data from reaching CERT.
Quick Start
Validate the integrity of the anonymized data for 'district-001' before loading it to the CERT environment.
Dependency Matrix
Required Modules
pandaspyyamlnumpygreat-expectations
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: validate-integrity Download link: https://github.com/pauljbernard/datamig/archive/main.zip#validate-integrity Please download this .zip file, extract it, and install it in the .claude/skills/ directory.