Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA
Rachel B Warren

Rachel B Warren
Data Scientist, Salesforce Einstein

Website | @warre_n_peace

Rachel Warren is a software engineer and data scientist for Salesforce Einstein, where she is working on scaling and productionizing auto ML on Spark. Previously, Rachel was a machine learning engineer for Alpine Data, where she helped build a Spark auto-tuner to automatically configure Spark applications in new environments. A Spark enthusiast, she is the coauthor of High Performance Spark. Rachel is a climber, frisbee player, cyclist, and adventurer. Last year, she and her partner completed a thousand-mile off-road unassisted bicycle tour of Patagonia.

Sessions

1:50pm–2:30pm Thursday, March 8, 2018
Playing well together: Big data beyond the JVM with Spark and friends
Data engineering and architecture, Streaming systems and real-time applications
 Location: 230 C
Holden Karau (Independent), Rachel B Warren (Salesforce Einstein)
Average rating: ***..
(3.40, 5 ratings)
Holden Karau and Rachel Warren explore the state of the current big data ecosystem and explain how to best work with it in non-JVM languages. While much of the focus will be on Python + Spark, the talk will also include interesting anecdotes about how these lessons apply to other systems (including Kafka). Read more.