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31 OCT

Turbocharging Analytics at Uber with our Data Science Workbench

Uber Engineering's data science workbench (DSW) is an all-in-one toolbox that leverages aggregate data for interactive analytics and machine learning.

26 SEP

Engineering Restaurant Manager, our UberEATS Analytics Dashboard

The UberEATS Restaurant Manager gives restaurant partners insight into their business by measuring customer satisfaction, sales, and service quality.

5 SEP

Meet Michelangelo: Uber’s Machine Learning Platform

Uber Engineering introduces Michelangelo, our machine learning-as-a-service system that enables teams to easily build, deploy, and operate ML solutions at scale.

11 JUL

Engineering Data Analytics with Presto and Parquet at Uber

Snap your fingers and presto! How Uber Engineering built a fast, efficient data analytics system with Presto and Parquet.

9 MAY

Detecting Abuse at Scale: Locality Sensitive Hashing at Uber Engineering

In this article, we discuss how Uber Engineering uses Locality Sensitive Hashing on Apache Spark to reliably detect fraudulent trips at scale.

2 MAY

Redesigning Uber Engineering’s Mobile Content Delivery Ecosystem

How Uber Engineering re-architected the content delivery feed and backend ecosystem of our new driver app to deliver an enhanced user experience.

12 MAR

Hoodie: Uber Engineering’s Incremental Processing Framework on Hadoop

Uber Engineering's data processing platform team recently built and open sourced Hoodie, an incremental processing framework that supports our business critical data pipelines. In this article, we see how Hoodie powers a rich data ecosystem where external sources can be ingested into Hadoop in near real-time.

19 OCT

Designing Euclid to Make Uber Engineering Marketing Savvy

In this article, we take a look at Euclid, Uber Engineering's Hadoop and Spark-based in-house marketing platform.

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