Setting Up Mappings
Mappings define how data from your sources is transformed and mapped to your target systems.
Understanding Mappings
A mapping consists of:
- Source fields
- Target fields
- Transformation rules
- Validation rules
Creating a New Mapping
- Go to the Mappings section
- Click "Create New Mapping"
- Select source and target
- Define field mappings
Mapping Types
Direct Mapping
- One-to-one field mapping
- No transformation needed
- Direct data transfer
Transformation Mapping
- Data type conversion
- Format changes
- Complex transformations
Conditional Mapping
- Based on rules
- If-then logic
- Data filtering
Field Mapping Options
Basic Operations
- Field renaming
- Type conversion
- Format adjustment
Advanced Operations
- Concatenation
- Splitting
- Mathematical operations
- Custom functions
Validation Rules
Set up validation to ensure data quality:
- Required fields
- Data type validation
- Range checks
- Custom validation rules
Testing Your Mapping
Before implementing:
- Use the mapping tester
- Review sample data
- Verify transformations
- Check error handling
Best Practices
- Document your mappings
- Use clear naming conventions
- Test with various data scenarios
- Monitor mapping performance
Next Steps
After setting up your mappings:
- Configure synchronization jobs
- Set up error handling
- Monitor data flow