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Andy Konwinski

Andy Konwinski
Postdoc, Databricks


Andy Konwinski is a postdoc in the AMPLab at UC Berkeley focused on large scale distributed computing and cluster scheduling. He co-created and is a committer on the Apache Mesos project that has been adopted by Twitter as their private cloud platform. He also worked with systems engineers and researchers at Google on Omega, their next generation cluster scheduling system. More recently, he lead the AMP Camp Big Data Bootcamp and has been contributing to the Spark project.


Hadoop and Beyond
GA Ballroom K
Tutorial Please note: to attend, your registration must include Tutorials on Tuesday.
Andy Konwinski (Databricks), Sameer Agarwal (UC Berkeley), Tathagata Das (Databricks), Ameet Talwalkar (Carnegie Mellon University | Determined AI), Shivaram Venkataraman (UC Berkeley), Patrick Wendell (Databricks), Reynold Xin (Databricks), Matei Zaharia (Databricks), Joseph Gonzalez (UC Berkeley), Haoyuan Li (Alluxio)
Average rating: ***..
(3.10, 10 ratings)
3-Hours: Get hands-on training with the newest components of the open-source Berkeley Data Analytics Stack (BDAS). Lessons will cover BlinkDB, MLbase, Spark, Spark Streaming, and Shark. We will provide each audience member with an EC2 cluster and walk through hands-on exercises using these technologies to analyze real-world datasets. Read more.
Office Hour
Table A
Andy Konwinski (Databricks), Matei Zaharia (Databricks), Patrick Wendell (Databricks), Pat McDonough (Databricks)
Andy, Matei, Patrick, and Pat are the Spark and Databricks developers. If you have an interest in the Spark project (and who doesn’t ?), stop by during their office hours to ask about Spark’s current features and future release plan. Learn about upcoming projects like GraphX, Tackyon, and SparkR. Read more.