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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.”
Managing incremental updates from HubSpot requires complex SQL merge statements, watermark columns, and change data capture logic when using Snowflake Data Share. These technical requirements often slow down implementation and require ongoing maintenance.
Here’s how to handle incremental HubSpot data updates without the complexity of Snowflake merge operations.
Automate incremental updates using Coefficient
Coefficient’s“Append New Data” feature specifically addresses incremental update challenges by automatically adding only new rows to existing datasets. The system includes timestamp tracking and works seamlessly with scheduled imports, eliminating the need for complex SQL merge statements or change data capture logic.
HubSpotYou get built-in deduplication based onObject IDs, visual tracking of what data was added in each refresh, and the ability to combine incremental updates with snapshots for historical analysis.
How to make it work
Step 1. Set up your initial HubSpot import with desired filters.
Configure your data import through Coefficient’s sidebar, selecting the specific objects, fields, and filter conditions you need. This creates your baseline dataset without any complex SQL setup.
Step 2. Enable “Append New Data” in your import settings.
Turn on the append feature to ensure new records get added to your existing dataset rather than overwriting it. The system automatically handles deduplication and adds timestamp metadata showing when each row was imported.
Step 3. Schedule regular refreshes for automated incremental updates.
Set up hourly, daily, or weekly refresh schedules based on your data freshness needs. Each refresh automatically identifies and appends only new records, maintaining your historical data while keeping current information up to date.
Step 4. Monitor incremental updates with built-in tracking.
Use the visual interface to see exactly what data was added in each refresh cycle. The timestamp tracking shows when records were added, giving you the audit trail capabilities you’d get from more complex data warehouse solutions.
Simplify your incremental data strategy
Get started with CoefficientCoefficient eliminates the complexity of Snowflake streams, tasks, and merge operations while providing similar incremental update functionality directly in spreadsheets.to handle HubSpot incremental updates without the technical overhead.
