Axion: Machine Learning Storage at Netflix
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.
Date and Time
Location
Hosts
Registration
- Date: 11 Jun 2024
- Time: 07:00 PM to 09:00 PM
- All times are (UTC-07:00) Pacific Time (US & Canada)
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- 567 Yosemite Dr
- Milpitas, California
- United States 95035
- Starts 29 March 2024 12:00 AM
- Ends 11 June 2024 12:00 AM
- All times are (UTC-07:00) Pacific Time (US & Canada)
- No Admission Charge
Speakers
Tejas Chopra of Netflix
Biography:
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.
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