Automated ISS Location Tracking to Google BigQuery Every Minute

Overview

This workflow automates the process of tracking the International Space Station's (ISS) location by fetching its coordinates every minute and storing the data in Google BigQuery. It leverages n8n's scheduling, data transformation, and integration capabilities to ensure continuous, reliable data collection.

Key Features

• Automated Scheduling: Uses a Cron node to trigger the workflow every minute.
• Real-Time Data Fetching: Retrieves the latest ISS location via an HTTP Request node.
• Data Preparation: Utilizes a Set node to format and structure the data for storage.
• Seamless Integration: Inserts the processed data directly into a Google BigQuery table for further analysis.

Benefits

• Continuous Data Collection: Ensures up-to-date ISS location data is always available for analytics.
• Time Savings: Eliminates manual data fetching and entry, reducing operational overhead.
• Scalable Analytics: Enables advanced reporting and visualization in BigQuery or connected BI tools.

Use Cases

• Space Data Analytics: Track and analyze ISS movement patterns over time.
• Educational Projects: Provide real-time space data for STEM education or public dashboards.
• Research: Support scientific studies requiring precise, historical ISS location data.

Integrations

• Google BigQuery: For scalable, cloud-based data storage and analytics.
• HTTP API: For real-time ISS location retrieval.