19:40

[Uber Open Source] Understanding the History of Apache Pinot

03:02

[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

05:51

Piranha: An Open Source Tool to Automatically Delete Stale Code

02:28

Introducing Uber's Engineering and Sponsorship Development Program

09:23

[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

00:12

[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

02:18

[Visualization Nights] The Metropolitan Planning Organization for Greater Cincinnati

20:56

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

08:31

[Visualization Nights] SharedStreets.io

14:00

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

00:15

[Uber Eng Blog] Visualizing Uber Air Simulated Flights

02:02

Science at Uber: Improving Transportation with Artificial Intelligence

02:31

Science at Uber: Powering Machine Learning at Uber

02:02

Science at Uber: Innovating Across Digital and Physical Worlds

02:04

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

02:24

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

02:51

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

02:03

Uber European Technology Showcase: Highlights

02:37

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

04:51

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

03:40

Uber Open Summit Sofia 2019

02:02

Uber European Technology Showcase: Highlights

03:18

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

04:41

[MoneyCon 2019] Welcome & Keynote

10:42

[Uber Open Source] Building City Cores with H3

08:25

[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