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Uber Engineering

Uber Engineering

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268 videos

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19:40

[Uber Open Source] Understanding the History of Apache Pinot

3:02

[Uber Open Source] Using Apache Pinot at Scale

24:00

[Uber Open Source] Leveraging Pinot at Uber for Large-scale Analytics

36:16

[Uber Open Source] New Features in Pinot: Standard SQL and Cloud Readiness

5:51

Piranha: An Open Source Tool to Automatically Delete Stale Code

2:28

Introducing Uber's Engineering and Sponsorship Development Program

9:23

[WiSDOM] Moving the World with Data 2019 Introduction

18:00

[WiSDOM] Learning Word2Vec Embeddings for Hexcluster Generation

19:14

[WiSDOM] Conversational AI at Uber

17:24

[WiSDOM] Learning Values and Policies from Observation

26:09

[Distributed Tracing NYC] Building a DIY Distributed Database in One Weekend

17:08

[Distributed Tracing NYC] Distributed Transactions -- Parallel Commits

27:24

[Production Engineering] Production Engineering Competencies at Uber

19:46

[Production Engineering] Designing the Blameless Infrastructure

25:39

[Destination:Web] Building a Great Developer Experience: The Road to Parcel Version 2

18:43

[Destination:Web] A Doc Site That Writes Code for You

0:12

[Uber Visualization] Urban Symphony

40:51

[Uber Seattle] Introduction to Kappa+ Architecture using Apache Flink

45:27

[Uber Seattle] When Apache Pulsar Meets Apache Flink

14:00

[Visualization Nights] Introduction: Kepler.gl & Movement Speeds

8:31

[Visualization Nights] SharedStreets.io

20:56

[Visualization Nights] Urban Planning Workshop with Kepler gl & Uber Movement

2:18

[Visualization Nights] The Metropolitan Planning Organization for Greater Cincinnati

0:15

[Uber Eng Blog] Visualizing Uber Air Simulated Flights

2:02

Science at Uber: Improving Transportation with Artificial Intelligence

2:31

Science at Uber: Powering Machine Learning at Uber

2:02

Science at Uber: Innovating Across Digital and Physical Worlds

2:04

Science at Uber: Making a Real-world Impact with Data Science

2:24

Science at Uber: Applying Artificial Intelligence at Uber

22:57

[Destination:Web] Lifecycle of a TC39 Proposal

26:21

[Destination:Web] Script Alert 1

23:24

[Destination:Web] AVS: An Open Standard for Autonomy Visualization in the Web

16:49

[StackUp] Open Source at Red Hat

24:31

[StackUp] Open Sourcing Kaltura

15:06

[StackUp] TimescaleDB: Performant Time-series Data Management and Analytics with PostgresSQL

13:04

[StackUp] vis.gl: Open source Tools for Large-scale Geospatial Data Visualization

2:51

Science at Uber: Powering Uber's Ridesharing Technologies Through Mapping

2:03

Uber European Technology Showcase: Highlights

2:37

Science at Uber: Bringing Research to the Roads

41:38

[Uber Open Summit Sofia 2019] Ludwig, a Code-Free Deep Learning Toolbox

38:13

[Uber Open Summit Sofia 2019] Visualization Frameworks at Uber

33:42

[Uber Open Summit Sofia 2019] Introducing Marmaray

36:06

[Uber Open Summit Sofia 2019] Metrics at Uber

4:51

[Uber Open Summit Sofia 2019] The Future of Open Source

3:40

Uber Open Summit Sofia 2019

2:02

Uber European Technology Showcase: Highlights

3:18

Science at Uber: Building a Data Science Platform

16:56

[MoneyCon 2019] Reliable Processing in a Streaming Payment System

11:52

[MoneyCon 2019] Controlling Our Own Destiny: Payments as a Service(s) at Airbnb

15:36

[MoneyCon 2019] Evolution of Revenue Optimization at Dropbox

12:13

[MoneyCon 2019] Payment Transaction Routing at LinkedIn

16:13

[MoneyCon 2019] Books: Scalable, Flexible, and Immutable Storage of Square's Financials

12:48

[MoneyCon 2019] Network Tokens at Netflix

4:41

[MoneyCon 2019] Welcome & Keynote

10:42

[Uber Open Source] Building City Cores with H3

8:26

[Uber Open Source] Engineering an H3-based Geospatial Data Platform at Uber

19:40

[Uber Open Source] Engineering Sub-City Geos for a Hyper-Local Marketplace with Uber

16:08

[Uber Open Source] Apache Zeppelin: Preview 0.9.0

21:50

[Uber Data Science] Democratizing Data Science at Uber with Data Science Workbench

23:54

[Uber Open Source] Ludwig: A Code-free Deep Learning Toolbox

5:31

Ludwig: A Toolbox for Training and Testing Deep Learning Models without Writing Code

5:59

[Visualization Nights] Tutorial #2: Combining Data Sources for Complex Insights

12:12

[Visualization Nights] Tutorial#1: Comparing Speeds Across Time Periods

6:26

[Visualization Nights] Introduction to Kepler.gl

6:37

[Visualization Nights] Introduction to Uber's Movement Speeds Dataset

18:23

[Uber Seattle] Long-Term Rider Behavior Modeling using Pyro

22:29

[Uber Seattle] Horovod: Distributed Deep Learning on Spark

37:24

[Uber Seattle] Michelangelo (MA) Learners and Transformers

22:32

[Destination:Web] JavaScript Errors Demystified

23:35

[Destination:Web] Progressive Enhancement: Not Just For Websites

28:00

[Visualization Nights] Introducing Uber’s Open Source Autonomous Visualization System

21:12

[Visualization Nights] Real-time Mapping with Vision -- Tory Smith (Mapbox)

16:18

[Uber Seattle] Uber Bus Marketplace Tech Deep Dive

11:37

[Uber Seattle] Uber Bus Market and Product Overview

29:31

[Uber Open Source] Petastorm: Uber ATG's Data Access Library for Deep Learning -- Yevgeni Litvin

21:45

[Uber Open Source ] Distributed Deep Learning with Horovod -- Alex Sergeev

19:48

[Distributed Tracing NYC] Gaining Insights from Distributed Traces -- Joe Farro

13:58

[Distributed Tracing NYC] Building a Tracing System at Dropbox -- Ross Delinger

25:43

[XGBoost Meetup] Machine Learning with Large-scale Telematics Data -- Wayne Zhang & Gorkem Ozkaya

29:24

[Destination:Web] Discovering Web Audio by Recreating Deep Note

21:53

[Destination:Web] Web-based Visualization in 2018: A Review -- Nicolas Belmonte

13:36

[XGBoost Meetup] Learning Deep Forest using XGBoost -- Yin Lou

13:39

[XGBoost Meetup] Introduction to the XGBoost Community -- Nan Zhu & Philip Cho

14:19

[Payments Platform] Evolution of Payments at Uber -- Nimish Sheth & Steven Karis

13:43

[Uber Payments Platform] Engineering Uber's Next-Gen Payment Platform -- Mathieu Chauvin

32:38

[Uber Open Summit 2018] Petastorm: Training & Evaluation of Deep Learning Models

19:26

[Uber Open Summit 2018] Ingestion/Dispersal with our Generic Any-to-Any Marmaray Framework

16:35

[Uber Open Summit 2018] Tiling the Earth with Hexagons

11:08

[Uber Open Summit 2018] Spatial Intelligence Using Hex

35:44

[Uber Open Summit 2018] Cadence: The Only Workflow Platform You'll Ever Need

49:59

[Uber Open Summit 2018] Opening Keynote with Jim Zemlin, Executive Director, The Linux Foundation,

32:59

[Uber Open Summit 2018] Horovod: Distributed Deep Learning in 5 Lines of Python

38:26

[Uber Open Summit 2018] H3-js: Hexagons in the Browser

23:15

[Uber Open Summit 2018] Scaling a React Component Library: Building Uber’s new Design Language

38:51

[Uber Open Summit 2018] Large-Scale Geospatial Visualization in the Browser with deck.gl

15:24

[Uber Open Summit 2018] Using Service Workers for Performance

10:43

[Uber Open Summit 2018] Using Presto @ Uber

16:02

[Uber Open Summit 2018] Hierarchical Hexagons in Depth

40:48

[Uber Open Summit 2018] Closing Keynote with Zoubin Ghahramani, Chief Scientist, Uber

33:00

[Uber Open Summit 2018] Pyro: Deep Probabilistic Programming