80 results for "data+analytics" across all locations

To improve our maps, Uber Engineering analyzes customer support tickets with natural language processing and deep learning to identify and correct inaccurate map data.

You read that right – Uber Atlanta needs more good people. The BEST people. These are fast times – are you up to the challenge? Check out the job descriptions, and apply if you think you’ve got what it takes!

Uber’s Data team discusses how they used CLP to scale log ingestion, retention, and analytics for Petabytes of Spark logs, reducing log storage and management costs by 169x.

Uber’s interactive analytics team shares how they integrated Alluxio’s data caching into Presto, the SQL query engine powering thousands of daily active users on petabyte scale at Uber, to dramatically reduce data scan latencies through leveraging Presto on local disks.

A key challenge faced by self-driving vehicles comes during interactions with pedestrians. In our development of self-driving vehicles, the Data Engineering and Data Science teams at Uber ATG (Advanced Technologies Group) contribute to the data processing and analysis that help make these interactions safe.

Written in Haskell, Queryparser is Uber Engineering’s open source tool for parsing and analyzing SQL queries that makes it easy to identify foreign-key relationships in large data warehouses.

We engineered full SQL support on Apache Pinot to enable quick analysis and reporting on aggregated data, leading to improved experiences on our platform.

By its nature, Uber’s business is highly real-time and contingent upon geospatial data.

We’ve updated the Uber for Business dashboard to allow you to search through your activity history.