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Learn about the evolution of real-time analytics query architecture at Uber through this 56-minute conference talk presented by Ankit Sultana at a CMU Database Group meeting. Explore how Uber has developed and refined their approach to handling real-time analytics queries at massive scale, examining the architectural decisions, challenges, and solutions that have shaped their current system. Discover the technical evolution of query processing infrastructure, performance optimizations, and scalability considerations that enable Uber to process and analyze data in real-time across their global operations. Gain insights into the practical implementation of large-scale real-time analytics systems and understand how architectural choices impact query performance and system reliability in production environments.
