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Introducing Menu Maker: Uber Eats’ New Menu Management Tool

Uber Engineering

When ordering online or via the app with Uber Eats, potential customers can’t peer in through a restaurant’s windows or smell the scents wafting from their kitchens, so digital menus become … The post Introducing Menu Maker: Uber Eats’ New Menu Management Tool appeared first on Uber Engineering Blog.

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Data Intelligence Platforms

databricks

The observation that "software is eating the world" has shaped the modern tech industry. Today, software is ubiquitous in our lives, from the.

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Streaming Real-Time Analytics with Redis, AWS Fargate, and Dash Framework

Uber Engineering

Uber’s GSS (Global Scaled Solutions) team runs scaled programs for diverse products and businesses, including but not limited to Eats, Rides, and Freight. One … The post Streaming Real-Time Analytics with Redis, AWS Fargate, and Dash Framework appeared first on Uber Engineering Blog.

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Uber’s Data Platform in 2019: Transforming Information to Intelligence

Uber Engineering

Uber’s busy 2019 included our billionth delivery of an Uber Eats order, 24 million miles covered by bike and scooter riders on our platform, and trips to top destinations such as the Empire State Building, the Eiffel Tower, and the … The post Uber’s Data Platform in 2019: Transforming Information to Intelligence appeared first on Uber Engineering (..)

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Engineering SQL Support on Apache Pinot at Uber

Uber Engineering

Uber leverages real-time analytics on aggregate data to improve the user experience across our products, from fighting fraudulent behavior on Uber Eats to forecasting demand on our platform. .

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Data News — Week 23.03

Christophe Blefari

Thank you for every recommendation you do about the blog or the Data News. Data Engineering job market in Stockholm — Alexander shared on a personal blog his job research in Sweden. Why the super rich are inevitable — Except the fact that we should eat the rich. This kindness for my content gives me wings.

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Productionizing Distributed XGBoost to Train Deep Tree Models with Large Data Sets at Uber

Uber Engineering

Michelangelo , Uber’s machine learning (ML) platform, powers machine learning model training across various use cases at Uber, such as forecasting rider demand , fraud detection , food discovery and recommendation for Uber Eats , and improving the accuracy of … The post Productionizing Distributed XGBoost to Train Deep Tree Models with Large (..)

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