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Xinli Shang

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Xinli Shang is a tech lead on the Uber Data Infrastructure team. He is passionate about tuning large scale services for performance, throughput, and reliability. He is a contributor to Apache Parquet. He is also one of the founders of the Uber Hadoop security team.

Engineering Blog Articles

Tricks of the Trade: Tuning JVM Memory for Large-scale Services

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Running queries on Uber’s data platform lets us make data-driven decisions at every level, from forecasting rider demand during high traffic events to identifying and addressing bottlenecks in the driver sign-up process. Our Apache Hadoop-based data platform ingests

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