This project demonstrates a serverless application to process and store IoT sensor data in real time, with data visualization using Tableau.

• Simulate IoT Sensor Data: Generate temperature and humidity data using Python.
• Real-Time Data Processing: AWS Lambda processes and stores data in DynamoDB.
• Data Export: Export DynamoDB data to CSV for Tableau integration.
• Visualization: Tableau dashboards to analyze sensor trends and insights.

• AWS Lambda
• AWS S3
• DynamoDB
• CloudWatch
• Tableau
• Python

1. Run iot_sensor_simulation.py to upload sensor data to S3.
2. AWS Lambda processes the data and stores it in DynamoDB.

1. Run export_dynamodb_to_csv.py:

   python export_dynamodb_to_csv.py