ML Foundations · 43 / 48
Data Engineering and Quality
Start here (read): IBM, "ELT vs. ETL: Similarities and Differences" → https://www.ibm.com/think/topics/elt-vs-etl
Goal: Learn the difference between ETL and ELT and how to validate incoming data with Great Expectations, so a schema change or a bad file aborts the pipeline before it corrupts your training run.
Do:
Read the ETL vs ELT explainer above ⬆️
Complete this hands-on tutorial https://www.datacamp.com/tutorial/great-expectations-tutorial
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