Sep 23–26, 2019
Reza Shiftehfar

Reza Shiftehfar
Engineering Manager, Uber Technologies

Website

Reza Shiftehfar currently leads Uber’s Hadoop Platform teams. His teams help build and grow Uber’s reliable and scalable Big Data platform that serves petabytes of data utilizing technologies such as Apache Hadoop, Apache Hive, Apache Kafka, Apache Spark, and Presto. Reza is one of the founding engineers of Uber’s Data team and helped scale Uber’s data platform from a few terabytes to over 100 petabytes while reducing the data latency from 24+ hours to minutes. Reza holds a Ph.D. in Computer Science from the University of Illinois, Urbana-Champaign with focus on building Mobile Hybrid Cloud applications.

Sessions

2:05pm2:45pm Thursday, September 26, 2019
Location: 1A 23/24
Secondary topics:  Data Integration and Data Processing, Data Management and Storage, Data, Analytics, and AI Architecture, Transportation and Logistics
Reza Shiftehfar (Uber Technologies)
Building a reliable Big Data platform is extremely challenging when it has to store and serve 100s of PetaBytes of data in a real-time fashion . This talk reflects on the challenges faced and proposes architectural solutions to scale a Big Data Platform to ingest, store, and serve 100+ PB of data with minute level latency while efficiently utilizing the hardware and meeting the security needs. Read more.

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