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

Apache Spark and real-time analytics: From interactive queries to streaming

michael dddd (Databricks)
11:00am–11:40am Thursday, 03/31/2016
Spark & Beyond

Location: 210 A/E
Average rating: *****
(5.00, 11 ratings)

Prerequisite knowledge

Description

Michael Armbrust explores real-time analytics with Spark from interactive queries to streaming.

Photo of michael dddd

michael dddd

Databricks

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.