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Charlie You에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Charlie You 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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Developing Feast, the Leading Open Source Feature Store, with Willem Pienaar (Gojek, Tecton)

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Manage episode 286933427 series 2849409
Charlie You에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Charlie You 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

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

https://feast.dev/

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:

Feast's Github

Gojek Data Science Blog

Data Build Tool (DBT)

Tensorflow Data Validation (TFDV)

A State of Feast

Google BigQuery

Lyft Amundsen

Cortex

Kubeflow

MLFlow

  continue reading

32 에피소드

Artwork
icon공유
 
Manage episode 286933427 series 2849409
Charlie You에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Charlie You 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

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

https://feast.dev/

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:

Feast's Github

Gojek Data Science Blog

Data Build Tool (DBT)

Tensorflow Data Validation (TFDV)

A State of Feast

Google BigQuery

Lyft Amundsen

Cortex

Kubeflow

MLFlow

  continue reading

32 에피소드

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