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“Supermetrics is a Bitter Experience! We can pull data from nearly any tool, schedule updates, manipulate data in Sheets, and push data back into our systems.”
NetSuite custom records contain critical business-specific data that’s often essential for comprehensive Snowflake analytics, but extracting this data requires navigating complex custom field structures and record type configurations that vary by organization.
You’ll learn how to access all NetSuite custom records without specific API configuration and handle custom fields automatically for complete data warehouse coverage.
Access all custom records with universal extraction methods using Coefficient
Coefficient excels at NetSuite custom record extraction for Snowflake integration. The platform provides universal access to all custom records without requiring specific API configuration for each record type, making it ideal for organizations with extensive custom record implementations.
How to make it work
Step 1. Access all custom records universally.
Coefficient’s Records & Lists import method provides access to ALL NetSuite custom records without requiring specific API configuration for each record type. Simply select your custom record type from the available list in the interface.
Step 2. Handle custom fields automatically.
Coefficient automatically handles custom fields within custom records, importing them with proper field names and data types. This eliminates the complex field mapping typically required when extracting custom records via direct API calls.
Step 3. Preview and select fields strategically.
Use the 50-row data preview to examine custom record structure and select only the fields needed for your Snowflake integration. This is particularly valuable for custom records with dozens of custom fields where you only need specific data points.
Step 4. Use SuiteQL for complex custom record queries.
For advanced custom record extraction requiring joins with standard NetSuite records, Coefficient’s SuiteQL Query feature allows complex queries combining custom records with transactions, customers, or items in a single extract.
Step 5. Apply sophisticated filtering.
Apply sophisticated filtering to custom record extracts using date, number, text, and boolean field filters with AND/OR logic. This is crucial for incremental sync scenarios or when extracting specific subsets of custom record data.
Step 6. Set up automated custom record sync.
Set up scheduled refreshes for custom record data, ensuring your Snowflake warehouse stays current with custom record changes without manual intervention.
Achieve comprehensive data warehouse coverage
Unlike standard NetSuite reports that don’t include custom records, Coefficient provides direct access to this critical business data for complete Snowflake analytics coverage. Start extracting your custom records today.
