![[Uber Open Summit 2018] Large-Scale Geospatial Visualization in the Browser with deck.gl @UberEngineering](https://i.ytimg.com/vi/L2ShgAe85Fg/maxresdefault.jpg)
Uploaded November 2018 | Updated September 2026, 2 weeks ago
Visualization and interaction with large-scale geospatial datasets is crucial to understanding the pulsing lives and transportation in our cities. deck.gl is a WebGL-powered data visualization framework and the foundation to many real-time, high-performance web applications that power Uber’s business and beyond. During this hands-on workshop, engineer Xiaoji Chen teaches Uber Open Summit 2018 attendees about deck.gl’s core concepts and capabilities via real-world examples.
Visualization and interaction with large-scale geospatial datasets is crucial to understanding the pulsing lives and transportation in our cities. deck.gl is a WebGL-powered data visualization framework and the foundation to many real-time, high-performance web applications that power Uber’s business and beyond. During this hands-on workshop, engineer Xiaoji Chen teaches Uber Open Summit 2018 attendees about deck.gl’s core concepts and capabilities via real-world examples.
![[Uber Open Summit 2018] Large-Scale Geospatial Visualization in the Browser with deck.gl](https://i.ytimg.com/vi/L2ShgAe85Fg/mqdefault.jpg "[Uber Open Summit 2018] Large-Scale Geospatial Visualization in the Browser with deck.gl
Visualization and interaction with large-scale geospatial datasets is crucial to understanding the pulsing lives and transportation in our cities. deck.gl is a WebGL-powered data visualization framework and the foundation to many real-time, high-performance web applications that power Uber’s business and beyond. During this hands-on workshop, engineer Xiaoji Chen teaches Uber Open Summit 2018 attendees about deck.gl’s core concepts and capabilities via real-world examples.")
![[Destination:Web] Accessibility for Modern Web Apps](https://i.ytimg.com/vi/LCtaccHLjUA/mqdefault.jpg "[Destination:Web] Accessibility for Modern Web Apps
Asynchronous iterators combine the async and await keywords with generator functions, providing an elegant way to express streaming operations in modern JavaScript applications. In this Destination:Web talk, Stripes Paul Ryan explores a real-world use case for async iterators and demonstrates how to properly use the feature with cancellation.")
![[Uber Seattle] Building Reliable Microservices @ Uber Siva Kalva](https://i.ytimg.com/vi/LFyK-Li2-ZQ/mqdefault.jpg "[Uber Seattle] Building Reliable Microservices @ Uber Siva Kalva
During a June 2018 meetup, engineering manager Siva Kalva discusses how we designed both the reliability tool chain our developers use when building microservices as well as their flow when deploying changes to production.")
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Apache Pinot is a distributed columnar database for real-time analytics. It powers many well-known applications, including LinkedIn’s Who Viewed My Profile feature and Uber Eats timely analytics. Since Pinot joined Apache Incubator in 2019, it has gained a lot of momentum with a growing community.
During this May 2020 Uber Engineering Meetup, software engineers Sidd and Xiang introduces new Apache Pinot integrations and features, including ORDER BY, DISTINCT, Text Search, and Standard SQL. They also discuss work being done to get Pinot cloud-ready, as well as its roadmap to Apache Incubator graduation.")
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During this July 2019 meetup at Uber’s New York City office, Matvey Arye of Timescale discusses the advantages of building TimescaleDB as an extension of open source PostgreSQL.")
![[Payments Platform] To the Nines: Building Ubers Payments Processing System Paul Sorenson](https://i.ytimg.com/vi/MJABqwzBkHs/mqdefault.jpg "[Payments Platform] To the Nines: Building Ubers Payments Processing System Paul Sorenson
During a September 2018 meetup, software engineer Paul Sorenson offers a peek into Uber’s payment processing systems and the challenges of ensuring payment accuracy.")
![[Uber Seattle] Uber Bus Marketplace Tech Deep Dive](https://i.ytimg.com/vi/MvWXSK-Rslg/mqdefault.jpg "[Uber Seattle] Uber Bus Marketplace Tech Deep Dive
During an April 2019 meetup hosted at Uber’s Seattle office, Uber engineering managers Danny Guo and Eoin OMahony discuss designing algorithms to improve the route generation, fleet positioning and movement, dynamic routes, and walking optimization solutions behind Uber Bus.")
![[WiSDOM] Learning Values and Policies from Observation](https://i.ytimg.com/vi/NZFnIu4U4Aw/mqdefault.jpg "[WiSDOM] Learning Values and Policies from Observation
On October 24, 2019, the WiSDOM (Women in Statistics, Data, Optimization, and Machine Learning) Employee Resource Group hosted the second annual Moving The World With Data meetup, welcoming hundreds of members of the Bay Area tech community to learn about some of our toughest, most interesting data science problems.
In this presentation, Ashley Edwards, a research scientist with Uber AI Labs, shares original work from the machine learning discipline of reinforcement learning. Using examples from the game Coin Run and other simple tasks, she demonstrates how an agent can be made to learn latent policies through observation. She also posed a question: in the future, can we expect robots to learn to act like humans by watching us move?
Learn more about the meetup: https://eng.uber.com/moving-the-world-with-data")
