cyberneticlibrary

Implement data quality validation

data-quality-frameworksskillsetup L20
Sheshiyer/skill-clusters
What it does

Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when b

Best for

Using data-quality-frameworks when it is the specialized tool

Inputs
  • · Metrics query or spec
  • · Data quality expectations
Outputs
  • · .pptx file
  • · Dashboard JSON
  • · Trained agent policy
  • · Validation report
  • · Material properties
  • · Trained model
  • · Configuration
Requires
  • · Python
  • · Monitoring platform
Preconditions
  • · Database connection
  • · Configuration/setup
  • · Pre-trained model
Trust signals
  • · Includes examples
  • · Versioned/documented
  • · Includes best practices
  • · Practical patterns