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Link to: Demand and ETR Forecasting at Airports
Backend

Demand and ETR Forecasting at Airports

In this post we will dive into the algorithm, data modeling, and system design that go into estimating the length of time drivers would have to wait for a trip request at a given location, empowering them to strategically remain or reposition.

March 23 / Global

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Case study: WMATA meets its goals by giving paratransit riders more choices

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Engineering, Data / ML
Setting Uber’s Transactional Data Lake in Motion with Incremental ETL Using Apache Hudi

March 16 / Global

Transit
Case study: How Kyle, Texas, benefits from rideshare

March 14 / US

Engineering, Backend
How We Unified Configuration Distribution Across Systems at Uber

March 9 / Global

Ride
Charged Before a Trip

March 8 / Global

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Case study: DART goes big in 30 zones

March 6 / US

Engineering, Backend
Uber’s Sustainable Engineering Journey

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D3: An Automated System to Detect Data Drifts

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Fixing Go’s Linker: An Unexpected Journey into ARM64, DWARF, and Linker Internals

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uAct – Unified Action Platform

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How the Uber Membership Team Developed the ActionCard Design Pattern to Do More with Less

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Amerigroup Georgia, GPCA, and Uber Health join forces to expand maternal health access

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Containerizing the Beast – Hadoop NameNodes in Uber’s Infrastructure

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The Uber One Super Bowl LVII Sweepstakes for Couriers

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How Brightline transforms customer experience at all steps of the journey, with Brightline+ and Uber

January 19 / US

Engineering, Backend
Scaling Adoption of Kerberos at Uber

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