During Uber's September 2019 Visualization Nights meetup, Uber engineer Ben Kramer and data analyst Utsav Shah walk through how to use the Uber Movement speeds data set with Kepler.gl to visualize insights about San Francisco traffic.
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[Uber Open Source] Understanding the History of Apache Pinot
[Uber Open Source] Using Apache Pinot at Scale
[Uber Open Source] Leveraging Pinot at Uber for Large-scale Analytics
[Uber Open Source] New Features in Pinot: Standard SQL and Cloud Readiness
Piranha: An Open Source Tool to Automatically Delete Stale Code
Introducing Uber's Engineering and Sponsorship Development Program
[WiSDOM] Learning Word2Vec Embeddings for Hexcluster Generation
[WiSDOM] Conversational AI at Uber
[WiSDOM] Moving the World with Data 2019 Introduction
[WiSDOM] Learning Values and Policies from Observation
[Distributed Tracing NYC] Building a DIY Distributed Database in One Weekend
[Distributed Tracing NYC] Distributed Transactions -- Parallel Commits
[Production Engineering] Production Engineering Competencies at Uber
[Production Engineering] Designing the Blameless Infrastructure
[Destination:Web] Building a Great Developer Experience: The Road to Parcel Version 2
[Destination:Web] A Doc Site That Writes Code for You
[Uber Visualization] Urban Symphony
[Uber Seattle] Introduction to Kappa+ Architecture using Apache Flink
[Uber Seattle] When Apache Pulsar Meets Apache Flink
[Visualization Nights] SharedStreets.io
[Visualization Nights] Introduction: Kepler.gl & Movement Speeds
[Visualization Nights] Urban Planning Workshop with Kepler gl & Uber Movement
[Visualization Nights] The Metropolitan Planning Organization for Greater Cincinnati
[Uber Eng Blog] Visualizing Uber Air Simulated Flights