Data Import Strategies for ServiceNow

Data import is a critical skill for ServiceNow administrators. This guide covers various import methods and best practices.

Import Methods

1. Import Sets

• Best for large data volumes
• Supports data transformation
• Provides import history and rollback

2. Data Sources

• Automated data imports
• Scheduled imports from external systems
• Real-time data synchronization

3. Web Services

• REST and SOAP APIs
• Integration with external applications
• Custom import solutions

Import Process

Planning Phase

1. Analyze source data format
2. Map fields to target tables
3. Identify data transformation needs
4. Plan for data validation

Execution Phase

1. Create import set table
2. Load data into import set
3. Create transform map
4. Execute transformation
5. Validate imported data

Validation Phase

1. Check data accuracy
2. Verify relationships
3. Test system functionality
4. Document any issues

Best Practices

Data Preparation

• Clean source data before import
• Standardize data formats
• Handle duplicate records
• Validate required fields

Transform Maps

• Use field maps for simple transformations
• Implement transform scripts for complex logic
• Handle lookup relationships properly
• Test with sample data first

Error Handling

• Plan for import failures
• Implement data validation rules
• Create rollback procedures
• Monitor import logs

Common Challenges

Data Quality Issues

• Inconsistent data formats
• Missing required information
• Duplicate records
• Invalid relationships

Performance Considerations

• Large data volumes
• Complex transformations
• System resource constraints
• Import scheduling

Advanced Topics

• Hierarchical data imports
• Multi-table imports
• Real-time data integration
• Custom import utilities

Understanding data import strategies is essential for the CSA exam and real-world ServiceNow administration.