Schema Drift Detector Expert
CommunityDetect and manage schema changes.
Software Engineering#monitoring#data quality#data pipeline#data engineering#schema evolution#schema drift
AuthorRazmik-Kutinava
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the critical issue of schema drift in data pipelines, which can lead to data quality degradation and pipeline failures. It provides tools and strategies to proactively monitor and react to unexpected changes in data schemas.
Core Features & Use Cases
- Schema Monitoring: Detects structural, type, constraint, and semantic schema changes.
- Detection Strategies: Supports proactive monitoring, reactive detection, baseline comparison, and statistical profiling.
- Implementation Patterns: Offers Python-based and SQL-based detection methods, with Spark integration.
- Use Case: Ensure that your data warehouse tables maintain their expected structure and data types after ETL processes, alerting engineers to any deviations that could impact reporting or downstream applications.
Quick Start
Use the Schema Drift Detector Expert to analyze the current schema against the registered baseline for the 'user_profiles' table.
Dependency Matrix
Required Modules
pandaspysparkgreat_expectations
Components
scriptsreferences
💻 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: Schema Drift Detector Expert Download link: https://github.com/Razmik-Kutinava/test.admin_logistic_v8/archive/main.zip#schema-drift-detector-expert Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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