Presented By O'Reilly and Cloudera
Make Data Work
March 28–29, 2016: Training
March 29–31, 2016: Conference
San Jose, CA
michael dddd

michael dddd
Software Engineer, Databricks

Website | @michaelarmbrust

Michael Armbrust is the lead developer of the Spark SQL and Structured Streaming projects at Databricks. Michael’s interests broadly include distributed systems, large-scale structured storage, and query optimization. Michael holds a PhD from UC Berkeley, where his thesis focused on building systems that allow developers to rapidly build scalable interactive applications and specifically defined the notion of scale independence.

Sessions

11:00am–11:40am Thursday, 03/31/2016
Spark & Beyond

Location: 210 A/E
michael dddd (Databricks)
Average rating: *****
(5.00, 11 ratings)
Michael Armbrust explores real-time analytics with Spark from interactive queries to streaming. Read more.
1:50pm–2:30pm Thursday, 03/31/2016
Ask Me Anything

Location: 211 A-C
Tags: real-time
Reynold Xin (Databricks), Tathagata Das (Databricks), michael dddd (Databricks)
Average rating: ***..
(3.00, 2 ratings)
Join the Spark team for an informal Q&A session. Apache Spark architects Reynold Xin, Tathagata Das, and Michael Armbrust will be on hand to field a wide range of detailed questions. Even if you don’t have a specific question, join in to hear what others are asking. Read more.