Patrick Wendell

Patrick Wendell
Cofounder of Databricks, Databricks


Patrick Wendell is a cofounder of Databricks as well as a founding committer and PMC member of Apache Spark. Patrick has acted as release manager for several Spark releases in addition to maintaining several subsystems of Spark’s core engine. At Databricks, Patrick directs the company’s maintenance and development of Spark.

Patrick holds an MS in computer science from UC Berkeley, where his research focused on low-latency scheduling for large-scale analytics workloads, and a BSE in computer science from Princeton University.


Beyond Hadoop Room 204
Tutorial Please note: to attend, your registration must include Tutorials on Tuesday.
Matei Zaharia (Databricks), Reynold Xin (Databricks), Andy Konwinski (UC Berkeley), Tathagata Das (Databricks), Patrick Wendell (Databricks)
Average rating: ****.
(4.00, 1 rating)
Building on our previous tutorial introducing BDAS, the open-source Berkeley Data Analytics Stack, in this tutorial we will provide each audience member with a Spark/Shark cluster on EC2 and walk through hands-on coding examples. Lessons will cover the Spark and Shark command line interfaces, writing a standalone program, and data clustering using a distributed machine learning algorithm on Spark. Read more.
Expo Hall (Table C)
Reynold Xin (Databricks), Matei Zaharia (Databricks), Ion Stoica (UC Berkeley), Andy Konwinski (UC Berkeley), Tathagata Das (Databricks), Patrick Wendell (Databricks), Shivaram Venkataraman (UC Berkeley)
Average rating: ***..
(3.00, 1 rating)


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