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Spotlight on Data: Caching Big Data for Machine Learning at Uber with Zhenxiao Luo

An interactive case study from Uber

Zhenxiao Luo

From determining the most convenient rider pickup points to predicting the fastest routes, Uber uses data-driven machine learning to create seamless trip experiences. Within engineering, big data and machine learning inform decision-making processes across the board. As Uber expands to new markets, the ability to accurately and quickly use data to make predictions becomes even more important. In this case study, Uber’s Zhenxiao Luo will detail the company's machine learning architecture and talk about how Uber uses big data to power machine learning jobs.

Join us for this edition of Spotlight on Data to find out how Uber tackles challenges of efficiency and scalability as a result of its growing business, data, and task complexity and how it's designing and implementing data caching solutions to speed up its machine learning platform.

O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. You’ll engage in a live conversation with experts, sharing your questions and ideas while hearing their unique perspectives, insights, fears, and predictions for the future.

In every edition of Spotlight on Data, you’ll learn about, discuss, and debate the tools, techniques, questions, and quandaries in the world of data. You’ll discover how successful companies leverage data effectively and how you can follow their lead to transform your organization and prepare for the Next Economy.

What you'll learn-and how you can apply it

By the end of this live show, you’ll better understand:

  • The scale and complexity of big data at Uber
  • How Uber has successfully navigated some of these challenges

This event is for you because:

  • You're a machine learning engineer or technical team lead who needs to help your company successfully overcome challenges of scale and complexity.
  • You're a manager or executive whose company is scaling its data collection and analysis methods, and you need to know what challenges to anticipate.

This training course is for you because...

  • You're a machine learning engineer or technical team lead who needs to help your company successfully overcome challenges of scale and complexity.
  • You're a manager or executive whose company is scaling its data collection and analysis methods, and you need to know what challenges to anticipate.

Prerequisites

  • Come with your questions for Zhenxiao Luo
  • Have a pen and paper handy to capture notes, insights, and inspiration

Recommended follow-up:

About your instructor

  • Zhenxiao Luo leads the interactive SQL engines team at Uber. Previously, he led the development and operations of Presto at Netflix and worked on big data- and Hadoop-related projects at Facebook, Cloudera, and Vertica. Zhenxiao holds a master’s degree from the University of Wisconsin-Madison and a bachelor’s degree from Fudan University.

Schedule

The timeframes are only estimates and may vary according to how the class is progressing

Monday, June 17, 2019, at 10:00am PT / 1:00pm ET

  • Introduction and presentation (15 minutes)
  • Interactive discussion and Q&A (45 minutes)