This workflow automates the process of fetching a CSV file from an Azure Blob Storage, extracting specific data fields, and uploading the processed data into a Snowflake database. Triggered manually via the ‘Execute Workflow’ button, it is designed to streamline data integration tasks without manual intervention.
Step-by-step, the workflow begins with a manual trigger that allows users to initiate the process. Once triggered, it makes an HTTP request to download a CSV file stored in Azure Blob Storage. The downloaded file is then parsed as a spreadsheet file within n8n. Data from the CSV, specifically ‘first_name’, ‘last_name’, and ‘id’, is selected and structured via a ‘Set’ node for consistency and clarity. Finally, this structured data is sent to a Snowflake database, where it is inserted into the ‘users’ table, updating or adding records accordingly.
This workflow is highly practical for maintaining synchronized user data between external storage and a Snowflake data warehouse, making it ideal for scenarios like periodic data imports, automated data pipeline updates, or integration tasks in data-driven applications or analytics environments.
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