Snowflake CSV

This workflow is ideal for:

• Data Analysts looking to automate data extraction from CSV files into a Snowflake database.
• Business Intelligence Professionals who need to streamline data integration processes.
• Data Engineers responsible for maintaining data pipelines and ensuring data accuracy.
• Small to Medium Enterprises (SMEs) seeking cost-effective solutions for data management without extensive coding knowledge.

This workflow addresses the challenge of manually transferring data from CSV files into a Snowflake database, which can be time-consuming and error-prone. By automating this process, users can:

• Save hours of manual data entry.
• Reduce the risk of human error in data handling.
• Ensure timely updates of data in the Snowflake database for better decision-making.

1. Manual Trigger: The workflow starts when the user clicks "Execute Workflow".
2. HTTP Request: A request is made to fetch a CSV file from a specified URL. The response is configured to return the file format.
3. Spreadsheet File: The fetched CSV file is processed to read its contents.
4. Set Node: The workflow extracts specific fields (first_name, last_name, id) from the CSV data and prepares them for insertion into the Snowflake database.
5. Snowflake Node: Finally, the extracted data is inserted into the 'users' table in Snowflake, specifically targeting the columns: id, first_name, and last_name.