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Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Danny Chen

Danny Chen
Senior Software Engineer, Uber Technologies

Website

Danny Chen is a software engineer on the Hadoop platform team at Uber, where he works on large-scale data ingestion and dispersal pipelines and libraries leveraging Apache Spark. Previously, he was the tech lead at Uber Maps building data pipelines to produce metrics to help analyze the quality of mapping data. Before joining Uber, Danny was at Twitter and an original member of the core team building Manhattan, a key-value store powering Twitter’s use cases. Danny holds a BS in computer science from UCLA and an MS in computer science from USC.

Sessions

2:05pm–2:45pm Wednesday, 09/12/2018
Location: 1A 23/24 Level: Intermediate
Secondary topics:  Data Integration and Data Pipelines
Danny Chen (Uber Technologies), Omkar Joshi (Uber Technologies), Eric Sayle (Uber Technologies)
Average rating: ***..
(3.80, 5 ratings)
Danny Chen, Omkar Joshi, and Eric Sayle offer an overview of Marmaray, a generic Hadoop ingestion and dispersal framework recently released to production at Uber. You'll learn how Marmaray can meet a team's data needs by ensuring that data can be reliably ingested into Hive or dispersed into online data stores and take a deep dive into the architecture to see how it all works. Read more.