4 min listen
What Does It Really Mean To Do MLOps And What Is The Data Engineer's Role?
What Does It Really Mean To Do MLOps And What Is The Data Engineer's Role?
ratings:
Length:
76 minutes
Released:
Apr 16, 2022
Format:
Podcast episode
Description
Putting machine learning models into production and keeping them there requires investing in well-managed systems to manage the full lifecycle of data cleaning, training, deployment and monitoring. This requires a repeatable and evolvable set of processes to keep it functional. The term MLOps has been coined to encapsulate all of these principles and the broader data community is working to establish a set of best practices and useful guidelines for streamlining adoption. In this episode Demetrios Brinkmann and David Aponte share their perspectives on this rapidly changing space and what they have learned from their work building the MLOps community through blog posts, podcasts, and discussion forums.
Released:
Apr 16, 2022
Format:
Podcast episode
Titles in the series (100)
Introducing The Show - Episode 0 by Data Engineering Podcast