Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA
Eugene Fratkin

Eugene Fratkin
Director, Engineering, Cloudera

Website

Eugene Fratkin is a director of engineering at Cloudera, heading Cloud R&D. He was one of the founding members of the Apache MADlib project (scalable in-database algorithms for machine learning). Previously, Eugene was a cofounder of a Sequoia Capital-backed company focusing on applications of data analytics to problems of genomics. He holds PhD in computer science from Stanford University’s AI lab.

Sessions

9:00am–12:30pm Tuesday, March 14, 2017
Deploying and operating big data analytic apps on the public cloud
Big data and the Cloud
 Location: LL21 A Level: Intermediate
Secondary topics:  Architecture, Cloud
Jennifer Wu (Cloudera), Eugene Fratkin (Cloudera), Andrei Savu (Cloudera), Tony Wu (Cloudera)
Average rating: ****.
(4.50, 2 ratings)
Jennifer Wu, Eugene Fratkin, Andrei Savu, and Tony Wu explore best practices for Hadoop deployments in the public cloud and provide detailed guidance for deploying, configuring, and managing Hive, Spark, and Impala in the public cloud. Read more.
5:10pm–5:50pm Wednesday, March 15, 2017
Practical considerations for running Spark workloads in the cloud
Big data and the Cloud, Spark & beyond
 Location: LL21 C/D
Secondary topics:  Cloud
Anand Iyer (Cloudera), Eugene Fratkin (Cloudera)
Average rating: *****
(5.00, 1 rating)
Both Spark workloads and use of the public cloud have been rapidly gaining adoption in mainstream enterprises. Anand Iyer and Eugene Fratkin discuss new developments in Spark and provide an in-depth discussion on the intersection between the latest Spark and cloud technologies. Read more.