
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/Episode pagehttps://www.discoveringdata.com/podcast/episode-059Special promo code from ManningUse our exclusive promo code today and get access to top-quality tech content from Manning publications: poddiscovdata23Book GiveawayDo you want to win a copy of "Effective Data Science Infrastructure"? Sign-up here:www.discoveringdata.com/mlsystemsMembership Lifetime Discount (Listeners Only)https://airtable.com/shrGDK9R143gXZD0XFor GuestsDo you enjoy educating an audience? Do you want to help data leaders build indispensable data products? That's awesome! Great episodes start with a clear transformation. Pitch your idea at https://www.discoveringdata.com/guest.
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