Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
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.

Sessions

16:3517:15 Wednesday, 1 May 2019
Ellen Friedman (Independent)
Average rating: ****.
(4.20, 5 ratings)
A surprising fact of modern technology is that not knowing some things can make you better at what you do. This isn’t just lack of distraction or being too delicate to face reality. It’s about separation of concerns, with a techno flavor. Ellen Friedman outlines five things that best practice with emerging technologies and new architectures can give us ways to not know—and why that’s important. Read more.