Episode 71
Key Concepts for Preparing Data in ML Pipelines
This podcast covers core concepts around data wrangling including ETL vs ELT data pipelines, the iterative process of data discovery, structuring, cleaning, enriching, validating and publishing data. It compares traditional ETL flows for structured data vs ELT flows better suited for large volumes of raw, unstructured data destined for data lakes.
January 9, 202419m 31s
Show Notes
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Topics
"data cleaning"machine learning"data validation"etl"unstructured data"data wranglingelt"data pipeline""data publishing""data discovery"