SCD Implementation Generator
Overview
Generates Slowly Changing Dimension implementations across platforms. This skill automates the creation of SCD patterns for proper historical tracking.
Capabilities
- •SCD Type 1/2/3/4/6 implementation
- •MERGE statement generation
- •dbt snapshot configuration
- •Historical tracking optimization
- •Surrogate key management
- •Effective date handling
- •Current flag management
- •Mini-dimension design
Input Schema
json
{
"dimension": {
"name": "string",
"columns": ["object"],
"businessKey": ["string"]
},
"scdType": "1|2|3|4|6",
"platform": "snowflake|bigquery|redshift|dbt",
"trackingColumns": ["string"]
}
Output Schema
json
{
"ddl": "string",
"mergeStatement": "string",
"dbtConfig": "object",
"documentation": "string"
}
Target Processes
- •SCD Implementation
- •Dimensional Model Design
- •dbt Model Development
Usage Guidelines
- •Define dimension structure with business keys
- •Select appropriate SCD type for business requirements
- •Specify target platform for syntax generation
- •Identify columns to track for historical changes
Best Practices
- •Use SCD Type 2 for attributes requiring full history
- •Implement surrogate keys for dimension tables
- •Use effective dates rather than just current flags
- •Consider mini-dimensions for rapidly changing attributes
- •Test SCD logic with representative change scenarios