ETL (Extract, Transform, Load)

The process of moving and preparing data for analysis

Overview

ETL stands for Extract, Transform, Load - the process of getting data from various sources, changing it into a useful format, and putting it where it needs to go. Think of it like a kitchen where you gather ingredients (extract), prepare them (transform), and put them in the right dishes (load).

Process Steps

Extract
  • Identify data sources
  • Connect to systems
  • Pull raw data
  • Validate sources
  • Track changes
  • Handle errors
Transform
  • Clean data
  • Format conversion
  • Apply rules
  • Handle missing values
  • Combine sources
  • Validate quality
Load
  • Prepare target systems
  • Insert data
  • Verify loading
  • Update records
  • Maintain consistency
  • Monitor performance

Common Challenges

  • Data quality issues
  • System compatibility
  • Performance bottlenecks
  • Error handling
  • Scaling needs
  • Maintenance costs

Best Practices

  • Document everything
  • Test thoroughly
  • Monitor closely
  • Handle errors gracefully
  • Plan for growth
  • Regular maintenance