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Extending Open Source Feature Stores to Fit Adyen

Posted Apr 12
# Data engineering
# Feature Stores
# Open Source
# Production Use Case
# Systems and Architecture
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SPEAKERS
Joost van Ingen
Joost van Ingen
Joost van Ingen
Data Engineer @ Dexter Energy

Joost is a software engineer with experience working on ML and data platforms. While at Adyen, he helped design and build a feature store. He recently joined Dexter Energy, a startup providing predictions on the energy market, where he will continue his career building data systems.

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Joost is a software engineer with experience working on ML and data platforms. While at Adyen, he helped design and build a feature store. He recently joined Dexter Energy, a startup providing predictions on the energy market, where he will continue his career building data systems.

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Thijs Brits
Thijs Brits
Thijs Brits
ML Engineer @ Adyen

Thijs is a Tech Lead and ML engineer at Adyen and worked on various feature lifecycle projects both for online- and batch prediction ML products.

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Thijs is a Tech Lead and ML engineer at Adyen and worked on various feature lifecycle projects both for online- and batch prediction ML products.

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SUMMARY

We walk you through how we adopted Feast at Adyen. WeÕll discuss the decisions we made because of infra and tech constraints, and the customizations we addedÑ in particular for our open source project, spark-offline-store, which was adopted into the main feast repo. We hope our journey can help you reason about adopting Feast into your stack.

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Posted Mar 28 | Views 13
# Feature Stores
# Production Use Case