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Automated Satellite Data Processing with AWS SQS

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Automate data retrieval and processing with AwsSqs, running every minute to fetch satellite position data and store it efficiently. This workflow enhances operational efficiency by ensuring timely updates and seamless integration with AWS SQS for reliable message queuing.

Workflow Overview

Automate data retrieval and processing with AwsSqs, running every minute to fetch satellite position data and store it efficiently. This workflow enhances operational efficiency by ensuring timely updates and seamless integration with AWS SQS for reliable message queuing.

This workflow is ideal for:

  • Developers looking to automate data collection from APIs.
  • Data Analysts who need real-time satellite position data for analysis.
  • System Administrators managing AWS services and looking to streamline message processing.
  • IoT Enthusiasts wanting to track satellite data for projects.
  • Businesses needing timely updates on satellite positions for operational decisions.

This workflow addresses the challenge of manual data retrieval from the satellite position API. By automating the process, users can:

  • Receive real-time updates on satellite positions every minute without manual intervention.
  • Integrate this data seamlessly with AWS SQS for further processing or notifications.
  • Save time and reduce errors associated with manual data handling.
  1. Cron Node: Triggers the workflow every minute, ensuring timely data collection.
  2. HTTP Request Node: Makes a GET request to the satellite position API, fetching the latest data, including latitude, longitude, and timestamp.
  3. Set Node: Extracts and formats the relevant data from the API response, preparing it for further processing. This includes:
    • Latitude
    • Longitude
    • Timestamp
    • Name of the satellite
  4. AWS SQS Node: Sends the formatted data to an AWS SQS queue for further use, enabling other applications to process or react to the satellite position updates.

Statistics

4
Nodes
0
Downloads
38
Views
1312
File Size

Quick Info

Categories
Schedule Triggered
Simple Workflow
+1
Complexity
simple

Tags

api
integration
schedule
automation
simple
awssqs

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