Uber handles its massive data needs with an Exabyte-scale ETL system, scaling their data processing with Apache Spark and a custom framework called Sparkle. The revamped architecture focuses on modularity, reliability, and observability, handling extensive data generated from their services. Key tools in their ETL processes

5m read timeFrom blog.quastor.org
Post cover image
Table of contents
The Architecture of Uber’s ETL PlatformTech Snippets

Sort: