Data serves little purpose if we cannot find it. Looking up individual records in the 100-plus petabytes of data accumulated at Uber lets us perform updates and gather useful insights to help improve our services, such as delivering more accurate …
Nishith Agarwal
Engineering Blog Articles
DBEvents: A Standardized Framework for Efficiently Ingesting Data into Uber’s Apache Hadoop Data Lake
Keeping the Uber platform reliable and real-time across our global markets is a 24/7 business. People may be going to sleep in San Francisco, but in Paris they’re getting ready for work, requesting rides from Uber driver-partners. At that same …