Engineering SQL Support on Apache Pinot at Uber
By: Uber Data Team
January 15th, 2020 • 1 min read
Uber leverages real-time analytics on aggregate data to improve the user experience across our products, from fighting fraudulent behavior on Uber Eats to forecasting demand on our platform.
To resolve these issues, we built a solution that linked Presto, a query engine that supports full ANSI SQL, and Pinot, a real-time OLAP (online analytical processing) datastore. This married solution allows users to write ad-hoc SQL queries, empowering teams to unlock significant analysis capabilities.
Read More at https://eng.uber.com/engineering-sql-support-on-apache-pinot/
