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Make Data Work
Oct 15–17, 2014 • New York, NY
Michael Armbrust

Michael Armbrust
Software Engineer, Databricks

Website | @michaelarmbrust

Michael Armbrust is the lead developer of the Spark SQL project at Databricks. He received his PhD from UC Berkeley in 2013, and was advised by Michael Franklin, David Patterson and Armando Fox. His thesis focused on building systems that allow developers to rapidly build scalable interactive applications, and specifically defined the notion of scale independence. His interests broadly include distributed systems, large-scale structured storage and query optimization.

Sessions

9:00am–5:00pm Wednesday, 10/15/2014
SOLD OUT
Hadoop & Beyond
Location: Hall A 23/24
Paco Nathan (derwen.ai), Michael Armbrust (Databricks), Tathagata Das (Databricks), Matei Zaharia (Databricks), Reynold Xin (Databricks), Ameet Talwalkar (Carnegie Mellon University and Determined AI), Holden Karau (Google), Joseph Bradley (Databricks), Sameer Farooqui (Databricks), Patrick Wendell (Databricks)
Average rating: ***..
(3.75, 20 ratings)
Spark Camp, organized by the creators of the Apache Spark project at Databricks, will be a day long hands-on introduction to the Spark platform including Spark Core, the Spark Shell, Spark Streaming, Spark SQL, MLlib, and more. Read more.
11:00am–11:40am Thursday, 10/16/2014
Office Hour
Location: Table A
Matei Zaharia (Databricks), Michael Armbrust (Databricks), Paco Nathan (derwen.ai), Tathagata Das (Databricks)
This is your chance to corner a gaggle of Apache Spark developers about the latest updates, use cases and deployment, and ways you can get started with Spark. Read more.
11:50am–12:30pm Friday, 10/17/2014
Hadoop & Beyond
Location: 1 E20/1 E21
Michael Armbrust (Databricks)
Average rating: ****.
(4.53, 15 ratings)
In this talk Michael will describe Spark SQL, the newest component of the Apache Spark stack. A key feature of Spark SQL is the ability to blur the lines between relational tables and RDDs, making it easy for developers to intermix SQL commands that query structured data with complex analytics in imperative or functional languages. Read more.
1:45pm–2:25pm Friday, 10/17/2014
Office Hour
Location: Table B
Michael Armbrust (Databricks), Reynold Xin (Databricks)
Michael and Reynold are happy to talk you about Apache Spark—including Spark use cases, Spark SQL features and roadmap, and ways you can contribute to Spark. Read more.