Overview
This workflow automates the process of tracking the International Space Station's (ISS) position and storing the data in a TimescaleDB database. It leverages n8n's scheduling, data retrieval, transformation, and database integration capabilities.
Key Features
- Automated Scheduling: Uses a Cron node to trigger the workflow at defined intervals.
- Live Data Retrieval: Fetches the current ISS position via an HTTP Request node from a public API.
- Data Preparation: Utilizes a Set node to format and structure the retrieved data for database insertion.
- Efficient Storage: Inserts the processed data into a TimescaleDB table for time-series analysis.
Benefits
- Real-Time Data Collection: Ensures up-to-date ISS position data is always available for analysis.
- Reduced Manual Effort: Eliminates the need for manual data fetching and entry, saving time and reducing errors.
- Scalable Storage: TimescaleDB provides efficient storage and querying for time-series data, supporting advanced analytics.
Use Cases
- Space Data Analytics: Enables organizations to analyze ISS movement patterns over time.
- Educational Projects: Supports STEM initiatives by providing real-world space data for learning.
- Research Applications: Facilitates scientific studies requiring accurate, historical ISS position data.
Integrations
- TimescaleDB: For scalable, time-series data storage.
- HTTP API: For live ISS position data retrieval.
- n8n Automation: Orchestrates the entire process seamlessly.
