🚀 NYC Transportation Data Warehouse - Next Steps Roadmap

✅ COMPLETED PHASES

• [x] Phase 1: Data Collection & Ingestion
  • [x] Data scraping from NYC TLC website
  • [x] Raw data upload to Snowflake (CSV/Parquet)
  • [x] Python upload scripts (load_snowflake.py)
  • [x] GitHub repository setup

🎯 NEXT PHASES TO COMPLETE

PHASE 2: DATA TRANSFORMATION & ETL 🔧

Goal: Clean, transform, and prepare data for analytics

2.1 Data Quality & Cleaning

• [ ] Create data quality checks

  -- Check for null values, outliers, invalid dates
  -- Validate trip distances, fare amounts
  -- Identify data anomalies
  
  

• [ ] Build data cleaning scripts

  -- Remove invalid records
  -- Standardize formats
  -- Handle missing values
  
  

2.2 Data Transformation

• [ ] Create staging tables (cleaned raw data)
• [ ] Build transformation SQL scripts
  • Clean datetime formats
  • Calculate trip duration
  • Categorize trip types
  • Add business rules

2.3 ETL Pipeline

• [ ] Create automated ETL scripts (Python + SQL)
• [ ] Schedule data processing (daily/weekly)
• [ ] Error handling and logging

PHASE 3: DIMENSIONAL MODEL DESIGN 🏗️

Goal: Design star schema for analytics