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Reynold Xin

Reynold Xin
Co-founder, Databricks


Reynold Xin is an Apache Spark committer and the lead developer for Shark and GraphX, two computation frameworks built on top of Spark. He is also a co-founder of Databricks. Before Databricks, he was pursuing a PhD focusing on large scale data systems in the UC Berkeley AMPLab.


Hadoop & Beyond Rhinelander South
Tutorial Please note: to attend, your registration must include Tutorials on Monday.
Tathagata Das (Databricks), Haoyuan Li (Tachyon Nexus, Inc.), Ion Stoica (UC Berkeley), Reynold Xin (Databricks), Sameer Agarwal (UC Berkeley)
Average rating: ****.
(4.80, 10 ratings)
An introduction to the open-source Berkeley Data Analytics Stack (BDAS). Spark is a high-speed cluster computing engine that supports rich analytics (e.g. machine learning) and lower-latency processing (e.g. streaming). Tachyon provides in-memory storage, letting Spark and Hadoop jobs share data efficiently. Shark and GraphX provide high-speed Hive SQL queries and graph processing on top of Spark. Read more.


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