Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & 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

11:50am–12:30pm Wednesday, March 7, 2018
Streaming big data in the cloud: What to consider and why
Big data and data science in the cloud, Data engineering and architecture, Streaming systems and real-time applications
 Location: 230 A
Secondary topics:  Graphs and Time-series
Bill Chambers (Databricks), michael dddd (Databricks)
Average rating: ****.
(4.60, 5 ratings)
William Chambers and Michael Armbrust discuss the motivation and basics of Apache Spark's Structured Streaming processing engine and share lessons they've learned running hundreds of Structured Streaming workloads in the cloud. Read more.