What are ETL, ELT, and EtLT?

Are you confused by the alphabet soup of data engineering patterns? I've got you! Here's what you need to know:

ETL (Extract, Transform, Load): 🟢Pros

• Better data quality on arrival
• Lower storage costs
• Mature, well-understood pattern 🔴Cons
• Less flexible for new transformations
• Complex maintenance
• Higher latency

ELT (Extract, Load, Transform): 🟢Pros

• More flexible transformation
• Faster loading
• Leverages modern cloud computing 🔴Cons
• Higher storage costs
• Requires robust data warehouse
• Data quality issues discovered later

EtLT (Extract, tiny Load, Transform): 🟢Pros

• Balances flexibility and efficiency
• Reduces invalid data early
• Moderate storage costs 🔴Cons
• More complex architecture
• Requires careful orchestration
• Less common, fewer tools available

Which one do you use?

Author

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