This episode currently has no reviews.
Submit ReviewWillem Pienaar is the co-creator of Feast, the leading open source feature store, which he leads the development of as a tech lead at Tecton. Previously, he led the ML platform team at Gojek, a super-app in Southeast Asia.
Learn more:
https://twitter.com/willpienaar
Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: https://www.cyou.ai/newsletter
Follow Charlie on Twitter: https://twitter.com/CharlieYouAI
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Timestamps:
02:15 How Willem got started in computer science
03:40 Paying for college by starting an ISP
05:25 Willem's experience creating Gojek's ML platform
21:45 Issues faced that led to the creation of Feast
26:45 Lessons learned building Feast
33:45 Integrating Feast with data quality monitoring tools
40:10 What it looks like for a team to adopt Feast
44:20 Feast's current integrations and future roadmap
46:05 How a data scientist would use Feast when creating a model
49:40 How the feature store pattern handles DAGs of models
52:00 Priorities for a startup's data infrastructure
55:00 Integrating with Amundsen, Lyft's data catalog
57:15 The evolution of data and MLOps tool standards for interoperability
01:01:35 Other tools in the modern data stack
01:04:30 The interplay between open and closed source offerings
Links:
Willem Pienaar is the co-creator of Feast, the leading open source feature store, which he leads the development of as a tech lead at Tecton. Previously, he led the ML platform team at Gojek, a super-app in Southeast Asia.
Learn more:
https://twitter.com/willpienaar
Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: https://www.cyou.ai/newsletter
Follow Charlie on Twitter: https://twitter.com/CharlieYouAI
Subscribe to ML Engineered: https://mlengineered.com/listen
Comments? Questions? Submit them here: http://bit.ly/mle-survey
Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/
Timestamps:
02:15 How Willem got started in computer science
03:40 Paying for college by starting an ISP
05:25 Willem's experience creating Gojek's ML platform
21:45 Issues faced that led to the creation of Feast
26:45 Lessons learned building Feast
33:45 Integrating Feast with data quality monitoring tools
40:10 What it looks like for a team to adopt Feast
44:20 Feast's current integrations and future roadmap
46:05 How a data scientist would use Feast when creating a model
49:40 How the feature store pattern handles DAGs of models
52:00 Priorities for a startup's data infrastructure
55:00 Integrating with Amundsen, Lyft's data catalog
57:15 The evolution of data and MLOps tool standards for interoperability
01:01:35 Other tools in the modern data stack
01:04:30 The interplay between open and closed source offerings
Links:
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