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

Ellen Friedman
Principal Technologist, MapR Technologies

Ellen Friedman is principal technologist at MapR Technologies. Ellen is a committer on the Apache Drill and Apache Mahout projects and coauthor of a number of books on computer science, including Machine Learning Logistics, Streaming Architecture, the Practical Machine Learning series, and Introduction to Apache Flink. Ellen has been an invited speaker at Strata Data conferences, Big Data London, Big Data Paris, Berlin Buzzwords, Nike Tech Talks, the University of Sheffield Methods Institute in the UK, and NoSQL Matters Barcelona. She holds a PhD in biochemistry.

Sessions

9:30am10:00am Tuesday, March 14, 2017
Secondary topics:  Streaming
Ellen Friedman (MapR Technologies)
Average rating: ****.
(4.67, 3 ratings)
Life doesn’t happen in batches. Being able to work with data from continuous events as data streams is a better fit to the way life happens, but doing so presents some challenges. Ellen Friedman examines the advantages and issues involved in working with streaming data, takes a look at emerging technologies for streaming, and describes best practices for this style of work. Read more.