课程概要

Uber marketplace connects riders looking for transportation with drivers looking for work at the push of a button. Many marketplace products (e.g. pricing, health, positioning etc.) require intensive real-time optimizations. Such applications help Uber automatically maintain marketplace reliability, generate market insights and improve the network efficiency across more than 600 cities in real-time.
Uber engineers leverage Apache Flink to build a platform that not only runs compute intensive optimization models, but also very quickly reacts to rapid changes in marketplace. In this talk, I will cover the compute platform that leverages Apache Flink to i.) aggregate billions of realtime and forecasted demand and supply level information across the globe. ii.) trigger on-demand optimization models to respond to changes in marketplace and iii.) scale both horizontally and vertically as we expand the platform to onboard new applications and experiences.

听众收益

1.Understand the challenges and requirements of real-time optimization
2.Understand how and why Uber Marketplace use Flink
3.Share insights on detail Flink case study and usage