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Conducting Better Business with Uber's Open Source Orchestration Tool, Cadence

Conducting Better Business with Uber’s Open Source Orchestration Tool, Cadence

Uber engineers describe Cadence, Uber’s open source workflow orchestration tool, its architecture, and its use in a series of informative presentations.

Standing for Safety: Meet the Uber Sao Paulo Tech Team

Located in the heart of Latin America’s largest city, the Uber Sao Paulo Tech Center was founded in late 2018 as a company-wide hub...

Fostering a Culture of Sponsorship: Introducing Uber’s Engineering and Sponsorship Development Program

Designed by Uber's Office of the CTO, the Engineering Sponsorship and Development Program (ESDP) pairs participants with sponsors and provides an opportunity to hone technical leadership skills.
Uber ATG self-driving cars

Under the Hood of Uber ATG’s Machine Learning Infrastructure and Versioning Control Platform for...

Managing multiple machine learning models to enable self-driving vehicles is a challenge. Uber ATG developed a model life cycle for quick iterations and a tool for continuous delivery and dependency management.

Building a Backtesting Service to Measure Model Performance at Uber-scale

We built a backtesting service to better assess financial forecast model error rates, facilitating improved forecast performance and decision making.

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

In 2019, Uber's Data Platform team leveraged data science to improve the efficiency of our infrastructure, enabling us to compute optimum datastore and hardware usage.

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

We share technical challenges and lessons learned while productionizing and scaling XGBoost to train distributed gradient boosted algorithms at Uber.

Taking City Visualization into the Third Dimension with Point Clouds, 3D Tiles, and deck.gl

With the release of deck.gl version 7.3, Uber’s open source visualization tool now supports rendering massive geospatial data sets formatted according to the OGC 3D Tiles community standard.

Improving the User Experience with Uber’s Customer Obsession Ticket Routing Workflow and Orchestration Engine

Uber adopted workflow orchestration and Cadence, our open source orchestration engine, to better handle customer support ticket routing at scale.
Complex freeway interchange

Accessible Machine Learning through Data Workflow Management

Uber engineers offer two common use cases showing how we orchestrate machine learning model training in our data workflow engine.
Elephant silhouette

DBEvents: A Standardized Framework for Efficiently Ingesting Data into Uber’s Apache Hadoop Data Lake

Uber engineers discuss the development of DBEvents, a change data capture system designed for high data quality and freshness that is capable of operating on a global scale.
Architecting Uber's New Driver App in RIBs feature image

Architecting Uber’s New Driver App in RIBs

In our continuing series about building our new driver app, Uber engineers discuss designing the architecture of the mobile app using RIBs, our open source mobile development framework.
World map with stack of gold coins

Transforming Financial Forecasting with Data Science and Machine Learning at Uber

Uber developed its own financial planning software, relying on data science and machine learning, to deliver on-demand forecasting and optimize strategic and operations decisions.

Growing the Data Visualization Community with deck.gl v5

deck.gl v5 incorporates simplified APIs, scripting support, and framework agnosticism, making the popular open source data visualization software more accessible than ever before.

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.

Fooji — On-Demand Fan Experiences Delivered

UberRUSH API Case Study Series #4.