"ETL vs ELT: What’s the Difference and Why It Matters in Data Engineering"
Title: ETL vs ELT: What’s the Difference and Why It Matters in Data Engineering Introduction Briefly explain what data pipelines are and why they matter Hook: “In today’s world of Big Data, ETL and ELT are more than buzzwords.” What is ETL? Extract → Transform → Load Common tools: Talend, Apache Nifi, traditional systems What is ELT? Extract → Load → Transform Popular with cloud-native platforms (e.g., Snowflake, BigQuery) ETL vs ELT: Key Differences Diagram (optional) Processing power location (on-prem vs cloud) Use cases and flexibility Which One Should You Use? Context-based recommendation Tools Supporting ELT (Mention OLake, Apache Iceberg subtly) Final Thoughts Future of ELT, growing trend of Lakehouses
Title: ETL vs ELT: What’s the Difference and Why It Matters in Data Engineering
-
Introduction
- Briefly explain what data pipelines are and why they matter
- Hook: “In today’s world of Big Data, ETL and ELT are more than buzzwords.”
-
What is ETL?
- Extract → Transform → Load
- Common tools: Talend, Apache Nifi, traditional systems
-
What is ELT?
- Extract → Load → Transform
- Popular with cloud-native platforms (e.g., Snowflake, BigQuery)
-
ETL vs ELT: Key Differences
- Diagram (optional)
- Processing power location (on-prem vs cloud)
- Use cases and flexibility
-
Which One Should You Use?
- Context-based recommendation
Tools Supporting ELT (Mention OLake, Apache Iceberg subtly)
-
Final Thoughts
- Future of ELT, growing trend of Lakehouses
