ase Study 1: Climate Data Analytics – Monitoring Environmental Change
Context:
Organizations like NASA, the World Meteorological Organization (WMO), and startups focused on sustainability collect terabytes of climate data daily—covering temperature, rainfall, CO₂ levels, and satellite imagery.
AWS Tools in Action:
Amazon S3 → Stores massive volumes of raw satellite and sensor data (CSV, GeoTIFF, NetCDF)
AWS Glue → Cleans and formats raw weather data into readable datasets (e.g., standardizing timestamps)
Amazon Athena → Allows analysts to run SQL queries directly on S3-based datasets
Amazon QuickSight → Visualizes global temperature changes, seasonal CO₂ spikes, and deforestation patterns
Outcome:
- Researchers detect climate anomalies faster (e.g., heat waves, rising sea levels)
- Governments use real-time dashboards for disaster prediction and response
- Publicly shared visualizations educate the public about climate change trends
Analytics Concepts Applied:
- Time-series analysis
- Anomaly detection
- Big data processing with Spark (via EMR or Glue)
Case Study 2: Stock Market Analytics – Real-Time Financial Insights
Context:
Financial institutions, hedge funds, and fintech apps track and analyze millions of stock transactions per day to spot market patterns and make investment decisions.
AWS Tools in Action:
Amazon Kinesis → Ingests real-time streaming data from stock exchanges (prices, trades, volumes)
Amazon Redshift → Stores structured historical data for analytical queries (joins, aggregations)
Amazon Lambda → Automatically reacts to price movements (e.g., triggers alerts or portfolio rebalancing)
QuickSight Dashboards → Visualize stock trends, compare sector performance, or monitor market volatility
Outcome:
- Analysts identify buy/sell signals using real-time dashboards
- Retail investors use insights from apps powered by AWS
- Data-driven decisions reduce risk in high-frequency trading
Analytics Concepts Applied:
- Real-time analytics
- Predictive modeling (future price trends)
- Correlation between macroeconomic factors and market behavior
