Automated Import of Productboard Data into Snowflake

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This n8n workflow automates the import and synchronization of product management data from Productboard into a Snowflake data warehouse. It streamlines data handling by extracting notes, companies, and features from Productboard, mapping them to custom fields, and updating corresponding Snowflake tables regularly. Additionally, it provides weekly Slack notifications summarizing new insights and unprocessed items, facilitating effective product management and data-driven decision-making.

**Workflow steps:**

– The scheduled trigger initiates the workflow weekly.

– It fetches data for notes, companies, and features from Productboard through paginated API requests.

– Custom mappings assign relevant fields, which are then processed in batches.

– The data is cleaned by emptying existing tables before inserting new records.

– The workflow links notes with features, updates the Snowflake tables, and handles relational data.

– It counts recent notes and unprocessed insights, sending a Slack message for team visibility.

This automation is ideal for product teams seeking to keep their data synchronized, generate insights, and communicate updates efficiently.

Node Count

>20 Nodes

Nodes Used

httpRequest, scheduleTrigger, set, slack, snowflake, splitInBatches, splitOut, stickyNote

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