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

Eugene Kirpichov
Staff Software Engineer, Google

Eugene Kirpichov is a staff software engineer on the Cloud Dataflow team at Google, where he works on the Apache Beam programming model and APIs. Previously, Eugene worked on Cloud Dataflow’s autoscaling and straggler elimination techniques. He is interested in programming language theory, data visualization, and machine learning.

Sessions

11:50am–12:30pm Wednesday, March 7, 2018
Radically modular data ingestion APIs in Apache Beam
Big data and data science in the cloud, Data engineering and architecture, Streaming systems and real-time applications
 Location: 212 A-B
Secondary topics:  Data Integration and Data Pipelines
Eugene Kirpichov (Google)
Average rating: ****.
(4.75, 4 ratings)
Apache Beam equips users with a novel programming model in which the classic batch/streaming data processing dichotomy is erased. Eugene Kirpichov details the modularity and composability advantages created by treating data ingestion as just another data processing task and walks you through building highly modular data ingestion APIs using the new Beam programming model primitive Splittable DoFn. Read more.