Axion: Machine Learning Storage at Netflix

This event will be available live at SEMI, as well as over Zoom. Get to SEMI by 6:30pm to network – and enjoy great pizza and refreshments! All attendees MUST register using the Eventbrite form (see link).
Netflix’s journey in enhancing its machine learning capabilities led to the creation of Axion, a revolutionary fact store that is designed to optimize the quality and accessibility of data for machine learning algorithms. This talk will delve into the evolution of Axion, highlighting its critical role in advancing Netflix’s recommendation systems. It will also explore the challenges faced in managing and utilizing large-scale data, and how Axion’s innovative architecture addresses these challenges.
You will gain insights into the technical intricacies of Axion, including its four main components: (1) the fact-logging client, (2) ETL (extract, transform, load), (3) the query client, and (4) the data quality infrastructure. You will learn about the unique approaches employed by Axion for data logging, transformation, and querying that ensure efficient and reliable data access for its sophisticated machine learning architecture.
Speaker(s): Tejas Chopra,
567 Yosemite Dr, Milpitas, California, United States, 95035, Virtual: https://events.vtools.ieee.org/m/414925