Data warehouses
Snowflake
Connect your Snowflake data warehouse to Basedash
Connect your Snowflake data warehouse to Basedash to analyze and visualize your enterprise data.
Prerequisites
- A Snowflake account
- User credentials with appropriate access
- Account identifier (organization-account.region)
- Warehouse, database, and schema information
Connection setup
- From your Basedash dashboard, click “Add Data Source”
- Select “Snowflake” as your data warehouse
- Enter your connection details:
- Account identifier
- Username
- Password
- Warehouse name
- Database name
- Schema (optional)
- Role (optional)
- Click “Test Connection” to verify
- Save your connection
Required permissions
Your Snowflake user needs:USAGEon warehouseUSAGEon databaseUSAGEon schemaSELECTon required tablesMONITORon warehouse (recommended)
Best practices
- Create a dedicated user for Basedash
- Use appropriate warehouse sizing
- Grant minimum required permissions
- Set resource monitors for cost control
- Regularly rotate credentials
Performance optimization
- Choose appropriate warehouse size
- Use clustering keys for large tables
- Leverage materialized views
- Set up proper table maintenance
- Configure query timeouts
- Enable result caching
Troubleshooting
- Verify user permissions
- Check warehouse availability
- Monitor credit usage
- Review query history for errors
- Validate network access
Next steps: Add custom context
You can add custom context to help the AI better understand your data structure and business logic. Consider adding context at the database or schema level if you notice the AI struggling to locate or understand specific data.When to add context
- Complex transformed data: When the AI needs help understanding data transformation logic
- Business-specific metrics: If calculated fields or KPIs need additional explanation
- Unclear naming conventions: When table or column names don’t clearly indicate their purpose