Technical
Marketing Data Warehouse Schema
Best practices for structuring marketing data in your cloud data warehouse.
Page Metadata
- Meta Title
- Marketing Data Warehouse Schema Guide | DataInc.ai
- Meta Description
- Learn best practices for organizing marketing data in Snowflake, BigQuery, or Redshift for reliable analytics.
- Primary Keywords
- warehouse schemamarketing data modeling
- Secondary Keywords
- data warehouse designschema best practicesmarketing analytics
Schema Design Principles
Normalization vs denormalization
Slowly changing dimensions
Fact table design
Balance query performance with data integrity using proven schema patterns for marketing data.
Core Marketing Tables
Spend tables
Impression tables
Conversion tables
Attribution tables
Essential table structures for capturing marketing performance data reliably.
Dimension Tables
Channel dimensions
Campaign dimensions
Creative dimensions
Time dimensions
Design dimension tables that support flexible analysis while maintaining consistency.
Naming Standards
Table prefixes
Column naming
Schema organization
Consistent naming makes schemas self-documenting and reduces confusion across teams.
Platform-Specific Considerations
Snowflake
BigQuery
Redshift
Optimize your schema design for your specific warehouse platform.