Data / ML

Data / Machine Learning

Backend, Data / ML, Engineering

Improving HDFS I/O Utilization for Efficiency

13 October 2021 / Global

Backend, Data / ML, Engineering

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

23 September 2021 / Global

Data / ML, Engineering

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

16 September 2021 / Global

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Stay up to date with the latest from Uber Engineering

Backend, Data / ML, Engineering

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

2 September 2021 / Global

Backend, Data / ML, Engineering

Enabling Seamless Kafka Async Queuing with Consumer Proxy

1 August 2021 / Global

Data / ML

How Data Shapes the Uber Rider App

26 August 2021 / Global

Backend, Data / ML, Engineering

Building Scalable Streaming Pipelines for Near Real-Time Features

24 August 2021 / Global

Data / ML, Engineering

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

13 August 2021 / Global

Data / ML, Engineering

Cost-Efficient Open Source Big Data Platform at Uber

11 August 2021 / Global

Data / ML, Engineering

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

9 August 2021 / Global

Data / ML, Engineering

How Uber Achieves Operational Excellence in the Data Quality Experience

5 August 2021 / Global

Data / ML, Engineering

Pinot Real-Time Ingestion with Cloud Segment Storage

29 July 2021 / Global

Data / ML, Engineering

Containerizing Apache Hadoop Infrastructure at Uber

22 July 2021 / Global

Data / ML, Engineering

‘Orders Near You’ and User-Facing Analytics on Real-Time Geospatial Data

20 July 2021 / Global

Data / ML, Engineering

Analyzing Customer Issues to Improve User Experience

16 July 2021 / Global

Engineering, Data / ML, Web

Customer Support Automation Platform at Uber

14 July 2021 / Global

Data / ML, Engineering

Tuning Model Performance

9 July 2021 / Global

Page 5

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Deutsch English

Data / ML

Improving HDFS I/O Utilization for Efficiency

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

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

Interested in joining Uber Eng?

Stay up to date with the latest from Uber Engineering

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

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

Pinot Real-Time Ingestion with Cloud Segment Storage

Containerizing Apache Hadoop Infrastructure at Uber

‘Orders Near You’ and User-Facing Analytics on Real-Time Geospatial Data

Analyzing Customer Issues to Improve User Experience

Customer Support Automation Platform at Uber

Tuning Model Performance

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