Importing and Managing Data

Data Import Capabilities

Analyst's Notebook allows you to import data from various sources, transforming raw information into visual intelligence products. Mastering data import techniques is essential for working with large datasets and complex investigations.

Key Skills Covered

• Importing data from Excel spreadsheets
• Working with CSV and structured text files
• Using the Import Specification Designer
• Creating reusable import specifications
• Handling different data formats
• Mapping data fields to entity properties
• Dealing with data quality issues
• Merging data from multiple sources

Data Management Best Practices

When working with large datasets in Analyst's Notebook, consider these best practices:

• Standardize your data before importing
• Create templates for recurring data imports
• Use consistent naming conventions
• Document your import specifications
• Validate imported data for accuracy
• Use filters to manage visual complexity
• Create separate charts for different aspects of analysis

Advanced Data Integration

As your skills develop, you can explore more advanced data integration techniques:

• Connecting to databases directly
• Working with i2 iBase
• Using the i2 Connect gateway
• Creating custom data connectors
• Automating regular data imports