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
Nishith Agarwal currently leads the Hudi project at Uber and works largely on data ingestion. His interests lie in large scale distributed systems. Nishith is one of the initial engineers of Uber’s data team and helped scale Uber's data platform to over 100 petabytes while reducing data latency from hours to minutes.
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 …
