Source: netflixtechblog.com
Evolution of ML Fact Store
by https://www.linkedin.com/in/vkaushal21/ At Netflix, we aim to provide recommendations that match our members’ interests.
This post will focus on the large volume of high-quality data stored in Axion — our fact store that is leveraged to compute ML features offline.
Axion fact store has four components — fact logging client, ETL, query client, and data quality infrastructure.
Fig Internal components of AxionAxion’s fact logging client logs facts to the https://netflixtechblog.com/keystone-real-time-stream-processing-platform-a3ee651812a, which outputs data to an https://github.com/Netflix/iceberg table.
This post will focus on the large volume of high-quality data stored in Axion — our fact store that is leveraged to compute ML features offline.
Axion fact store has four components — fact logging client, ETL, query client, and data quality infrastructure.
Fig Internal components of AxionAxion’s fact logging client logs facts to the https://netflixtechblog.com/keystone-real-time-stream-processing-platform-a3ee651812a, which outputs data to an https://github.com/Netflix/iceberg table.
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