Can Data Lakes Accelerate Building ML Data Pipelines?

Investigating time-to-insights for data science with a data lake vs. data warehouse

Anna Geller
Towards Data Science
7 min readApr 21, 2021

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Photo by Emil Jarfelt on Unsplash | Branded content disclosure

A common challenge in data engineering is to combine traditional data warehousing and BI reporting with experiment-driven machine learning projects. Many data scientists tend to work more with Python and ML frameworks rather than SQL…

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