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

Ellen Friedman
Data Technologist, Independent

Ellen Friedman is a data technologist with a Ph.D. in biochemistry. She is a committer for Apache Drill and Apache Mahout projects and co-author of books including AI & Analytics in Production, Machine Learning Logistics, Streaming Architecture, the Practical Machine Learning series, and Introduction to Apache Flink, all published by O’Reilly Media. Ellen has been a keynote speaker at JFokus in Stockholm, Big Data London and NoSQL Matters Barcelona and an invited speaker at Strata Data conferences, Berlin Buzzwords, Nike Tech Talks, and the University of Sheffield Methods Institute.


2:40pm3:20pm Wednesday, March 7, 2018
Ellen Friedman (Independent)
Average rating: ****.
(4.43, 7 ratings)
DataOps—a culture and practice for building data-intensive applications, including machine learning pipelines—expands DevOps philosophy to include data-heavy roles such as data engineering and data science. DataOps is based on cross-functional collaboration resulting in fast time to value and an agile workflow. Ellen Friedman offers an overview of DataOps and explains how to implement it. Read more.