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Matei Zaharia

Matei Zaharia
CTO, Databricks

Website

Matei Zaharia started the Spark project at UC Berkeley and is currently CTO of Databricks. He serves as Spark’s vice president at Apache. In spring 2015, he is also beginning an assistant professor position at MIT.

Sessions

Hadoop and Beyond
GA Ballroom K
Tutorial Please note: to attend, your registration must include Tutorials on Tuesday.
Sameer Agarwal (UC Berkeley), Tathagata Das (Databricks), Ali Ghodsi (UC Berkeley), Ion Stoica (UC Berkeley), Ameet Talwalkar (Carnegie Mellon University | Determined AI), Reynold Xin (Databricks), Matei Zaharia (Databricks), Joseph Gonzalez (UC Berkeley)
Average rating: ****.
(4.29, 7 ratings)
3-Hours: An introduction to the newest components of the open-source Berkeley Data Analytics Stack (BDAS) in development at UC Berkeley (and an overview of existing ones). BlinkDB is a SQL engine that provides fast approximate distributed query results. MLbase includes a library to make machine learning at scale easy. Tachyon is a file system that provides memory speed sharing across frameworks.. Read more.
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.

Mission City
Matei Zaharia (Databricks)
Average rating: ****.
(4.21, 19 ratings)
While the first big data systems made a new class of applications possible, organizations must now compete on the speed and sophistication with which they can draw value from data. Future data processing platforms will need to not just scale cost-effectively; but to allow ever more real-time analysis, and to support both simple queries and today's most sophisticated analytics algorithms. Read more.