Vinoth Chandar explains how Uber revamped its foundational data infrastructure with Hadoop as the source-of-truth data lake and Spark as the de facto processing engine, sharing lessons from the experience. Vinoth provides an overview of the data ecosystem at Uber and details the old and the current data architecture at Uber, discussing some of the unique challenges that influenced them. Vinoth also shares the roadmap ahead around areas such as all-active data architecture, Spark infrastructure, interactive SQL, and a bigger initiative to reduce data latency into Hadoop.
Vinoth Chandar is a senior software engineer at Uber, where he works on data infrastructure, with a focus on Hadoop and Spark. Vinoth has keen interest in unified architectures for data analytics and processing. Previously, he was the LinkedIn lead on Voldemort and worked on Oracle Server’s replication engine, HPC, and stream processing.
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