Concert Data Processing Automation

Target Audience

• Event Organizers: Those who manage concerts and need to efficiently process and store data from CSV files.
• Data Analysts: Individuals who analyze concert data for insights and trends.
• Developers: Tech-savvy users looking to automate data handling processes.
• Database Administrators: Professionals managing MySQL databases who need to import data from various sources.

Problem Solved

This workflow addresses the challenge of manually importing concert data from a CSV file into a MySQL database. It automates the process, reducing the risk of human error and saving valuable time. By using this workflow, users can seamlessly transition from file reading to data storage, ensuring that important information is captured accurately and efficiently.

Workflow Steps

1. Manual Trigger: The workflow begins when the user clicks the 'execute' button, initiating the process.
2. Read From File: The workflow reads data from a specified CSV file located at /home/node/.n8n/concerts-2023.csv. This file contains crucial details about concerts, including dates, bands, and locations.
3. Convert To Spreadsheet: The data read from the file is then converted into a spreadsheet format. This step ensures that the data is structured appropriately for the next stage.
4. Insert into MySQL: Finally, the structured data is inserted into a MySQL database table named concerts_2023_csv. The columns populated include Date, Band, ConcertName, Country, City, Location, and LocationAddress.