Uber Marketplace: Location Serving & Storage in the Uber Marketplace
In this presentation, senior software engineer Arkajit Dey discusses how we process and store location points on the Uber platform to improve our marketplace technologies at scale.
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Geohash: the algorithm inside and out - Part 1
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Map Matching @ Uber
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K-Means Clustering Explained Simply | Machine Learning
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Uber's Staff Software Engineer Interview Exposed
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Streaming a Million Likes/Second: Real-Time Interactions on Live Video
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H3: Tiling the Earth with Hexagons
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Keynote: Twitter's search architecture
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USENIX ATC '13 - TAO: Facebook’s Distributed Data Store for the Social Graph
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How Uber Handles TRILLIONS of Transactions
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Uber Marketplace Meetup: Using Distributed Locking to Build Reliable Systems
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Uber - System Design Interview Question (Ride Sharing Service)
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How does Uber scale to millions of concurrent requests?
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Uber DESTOYS Cherry Pickers INCOME With NEW Update
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Design Navigation Systems like Google Maps, Uber & Doordash | System Design
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I Declined 184 Uber Rides to Expose the Algorithm
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Google Systems Design Interview With An Ex-Googler
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Taking Storage for a Ride with Uber
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Basic System Design for Uber or Lyft | System Design Interview Prep
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How to Trick the Uber Algorithm to Earn More Money
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