Axion: Machine Learning Storage at Netflix

Join us for Axion: Machine Learning Storage at Netflix, an event on Tue, June 11, 2024 at 7pm at SEMI, 567 Yosemite Drive, Milpitas, CA 95035. (Also available via Zoom - see https://CaliforniaConsultants.org/event/axion-machine-learning-storage-at-netflix/)

We'll have free quality pizza and drinks starting at 6:30pm. Come early and network with our members, other engineers, interested parties, and possible consulting clients. A Zoom option for this hybrid event is at www.CaliforniaConsultants.org

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.

Tejas Chopra is a Sr. Engineer at Netflix working on the Machine Learning Platform. Previously, he was a part of the Content Engineering organization working on building Storage Infrastructure for Netflix content. Tejas is also the Co-Founder of GoEB1 – a thought leadership platform for immigrants. He is an IEEE Senior Member, a BCS Fellow, a 2x TEDx speaker, and he has spoken at several conferences on Cloud Computing, Blockchain, and Storage Infrastructure. His experience includes work at Box, Datrium, Samsung, Cadence, and Apple, and he holds a Master’s in Electrical and Computer Engineering from Carnegie Mellon University, Pittsburgh.

Host or Publisher IEEE - Consultants' Network of Silicon Valley (CNSV)