42 min listen
Ship Faster With An Opinionated Data Pipeline Framework
Ship Faster With An Opinionated Data Pipeline Framework
ratings:
Length:
35 minutes
Released:
Oct 1, 2019
Format:
Podcast episode
Description
Building an end-to-end pipeline for your machine learning projects is a complex task, made more difficult by the variety of ways that you can structure it. Kedro is a framework that provides an opinionated workflow that lets you focus on the parts that matter, so that you don't waste time on gluing the steps together. In this episode Tom Goldenberg explains how it works, how it is being used at Quantum Black for customer projects, and how it can help you structure your own. Definitely worth a listen to gain more understanding of the benefits that a standardized process can provide.
Released:
Oct 1, 2019
Format:
Podcast episode
Titles in the series (100)
Rebuilding Yelp's Data Pipeline with Justin Cunningham - Episode 5 by Data Engineering Podcast