Slow or inadequate data infrastructure can seriously hinder the progress of data science projects, making it a constant battle to balance the need for speed with accuracy and quality. Today I learn the challenges data science teams face and how to overcome the obstacles of data infrastructure from Ville Tuulos, author of "Effective Data Science Infrastructure."

You can follow Ville Tuulos on LinkedIn. Check out Metaflow at https://metaflow.org/ and Outerbounds at https://outerbounds.com/

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