April 15, 2024, 4 p.m. | Onumaku Chibuike Victory

DEV Community dev.to

ETL vs. ELT: The Data Pipeline Showdown!

Data pipelines are the workhorses of data engineering, moving data from source to analysis. This post explores ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) approaches, along with data cleansing and transformation techniques.


ETL: Transform data before loading (like prepping ingredients before cooking).


ELT: Load data first, then transform within the target system (like throwing everything in the pot and then cleaning/chopping).

The right approach depends on factors like data size and …

analysis cooking data data cleansing data engineering dataengineering data first data pipeline data pipelines datascience elt engineering etl extract loading moving pipeline pipelines showdown transformation

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Software Engineer, Machine Learning (Tel Aviv)

@ Meta | Tel Aviv, Israel

Senior Data Scientist- Digital Government

@ Oracle | CASABLANCA, Morocco