Data Engineering in 2022: Architectures & Terminology
Read OriginalThis article clarifies the shift from traditional ETL to modern ELT architectures in data engineering. It explains the core concepts, the separation of Extract/Load and Transform stages, and how tools like dbt specifically handle the transformation (T) within an ELT pipeline, contrasting with older ETL server models.
Comments
No comments yet
Be the first to share your thoughts!
Browser Extension
Get instant access to AllDevBlogs from your browser
Top of the Week
1
Quoting Thariq Shihipar
Simon Willison
•
2 votes
2
Top picks — 2026 January
Paweł Grzybek
•
1 votes
3
In Praise of –dry-run
Henrik Warne
•
1 votes
4
Deep Learning is Powerful Because It Makes Hard Things Easy - Reflections 10 Years On
Ferenc Huszár
•
1 votes
5
Vibe coding your first iOS app
William Denniss
•
1 votes
6
AGI, ASI, A*I – Do we have all we need to get there?
John D. Cook
•
1 votes
7
Dew Drop – January 15, 2026 (#4583)
Alvin Ashcraft
•
1 votes