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3 posts tagged with "uber"

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Automating Merchant Live Monitoring with Real-Time Analytics - Charon

· One min read
Uber
Uber Data Team

At Uber, live monitoring and automation of Ops is critical to preserve marketplace health, maintain reliability, and gain efficiency in markets. By the virtue of the word “live”, this monitoring needs to show what is happening now, with prompt access to fresh data, and the ability to recommend appropriate actions based on that data. Uber’s data platform provides the self-serve tools which empower the Ops teams to build their own live monitoring tools, and support their regional teams by building rich solutions.

For this project, the requirement was to provide merchant level monitoring and handle the edge cases which remain unaddressed by the sophisticated internal marketplace management tools. We used a variety of Uber’s real-time data platform components to build a tool called Charon to reduce impact of poor marketplace reliability on the merchants.

Read More at https://eng.uber.com/charon/

Operating Apache Pinot at Uber Scale

Operating Apache Pinot at Uber Scale

· One min read
Uber
Uber Data Team

Uber has a complex marketplace consisting of riders, drivers, eaters, restaurants and so on. Operating that marketplace at a global scale requires real-time intelligence and decision making. For instance, identifying delayed Uber Eats orders or abandoned carts helps to enable our community operations team to take corrective action. Having a real-time dashboard of different events such as consumer demand, driver availability, or trips happening in a city is crucial for day-to-day operation, incident triaging, and financial intelligence.

Read More at https://eng.uber.com/operating-apache-pinot/

Operating Apache Pinot at Uber Scale

Engineering SQL Support on Apache Pinot at Uber

· One min read
Uber
Uber Data Team

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/

SQL Support on Apache Pinot at Uber