Engineering

The technology behind Uber Engineering

Backend, Data / ML, Engineering

Improving HDFS I/O Utilization for Efficiency

October 13, 2021 / Global

Backend, Engineering

Building Uber’s Fulfillment Platform for Planet-Scale using Google Cloud Spanner

September 29, 2021 / Global

Backend, Data / ML, Engineering

Real-Time Exactly-Once Ad Event Processing with Apache Flink, Kafka, and Pinot

September 23, 2021 / Global

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Data / ML, Engineering

YAML Generator for Funnel YAML Files: Streamlining the Mobile Data Workflow Process

September 16, 2021 / Global

Engineering

Jellyfish: Cost-Effective Data Tiering for Uber’s Largest Storage System

September 9, 2021 / Global

Backend, Data / ML, Engineering

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

September 2, 2021 / Global

Backend, Data / ML, Engineering

Enabling Seamless Kafka Async Queuing with Consumer Proxy

August 31, 2021 / Global

Data / ML

How Data Shapes the Uber Rider App

August 26, 2021 / Global

Backend, Data / ML, Engineering

Building Scalable Streaming Pipelines for Near Real-Time Features

August 24, 2021 / Global

Engineering

Eats Safety Team On-Call Overview

August 19, 2021 / Global

Engineering, Web

Unifying Support Content to Enable More Empathetic and Personalized Customer Support Experiences

August 17, 2021 / Global

Data / ML, Engineering

Efficiently Managing the Supply and Demand on Uber’s Big Data Platform

August 13, 2021 / Global

Data / ML, Engineering

Cost-Efficient Open Source Big Data Platform at Uber

August 11, 2021 / Global

Data / ML, Engineering

Challenges and Opportunities to Dramatically Reduce the Cost of Uber’s Big Data

August 9, 2021 / Global

Data / ML, Engineering

How Uber Achieves Operational Excellence in the Data Quality Experience

August 5, 2021 / Global

Engineering

Uber’s Finance Computation Platform

August 3, 2021 / Global

Data / ML, Engineering

Pinot Real-Time Ingestion with Cloud Segment Storage

July 29, 2021 / Global

Page 10

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English Български

Engineering

The technology behind Uber Engineering

Improving HDFS I/O Utilization for Efficiency

Building Uber’s Fulfillment Platform for Planet-Scale using Google Cloud Spanner

Real-Time Exactly-Once Ad Event Processing with Apache Flink, Kafka, and Pinot

Interested in joining Uber Eng?

YAML Generator for Funnel YAML Files: Streamlining the Mobile Data Workflow Process

Jellyfish: Cost-Effective Data Tiering for Uber’s Largest Storage System

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

Enabling Seamless Kafka Async Queuing with Consumer Proxy

How Data Shapes the Uber Rider App

Building Scalable Streaming Pipelines for Near Real-Time Features

Eats Safety Team On-Call Overview

Unifying Support Content to Enable More Empathetic and Personalized Customer Support Experiences

Efficiently Managing the Supply and Demand on Uber’s Big Data Platform

Cost-Efficient Open Source Big Data Platform at Uber

Challenges and Opportunities to Dramatically Reduce the Cost of Uber’s Big Data

How Uber Achieves Operational Excellence in the Data Quality Experience

Uber’s Finance Computation Platform

Pinot Real-Time Ingestion with Cloud Segment Storage

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