Key Concepts for Preparing Data in ML Pipelines

from 52 Weeks of Cloud · host Pragmatic AI Labs

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What this episode covers

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.

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Key Concepts for Preparing Data in ML Pipelines

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This episode is 19 minutes long.

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This episode was published on January 9, 2024.

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