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

James Campbell
Senior Data Scientist, USG

James Campbell is a senior data scientist and researcher at the Laboratory for Analytical Sciences (LAS), a collaborative public-private research and development organization housed at NC State University. His current work focuses on measuring and enhancing analytic quality by weaving together traditional, human-centric analytic processes with predictive, model-driven analytic tools. He is one of the core contributors to the Great Expectations project. James has worked in government for more than a decade, leading significant data science tradecraft development efforts. He has managed multiple data science teams tackling a wide range of topics, including counterterrorism and information operations. His prior analytical experience includes strategic cyberthreat intelligence research and economic analysis for litigation. James holds a bachelor’s degree in math and philosophy from Yale and a master’s degree in security studies from Georgetown. James lives in Cary, North Carolina, with his wife, two daughters, and dog. He speaks Russian, enjoys running and cycling, and designs mathematical sculpture.


5:10pm5:50pm Wednesday, March 7, 2018
Secondary topics:  Data Integration and Data Pipelines
Abe Gong (Superconductive Health), James Campbell (USG)
Average rating: *****
(5.00, 4 ratings)
Data science and engineering have been missing out on one of the biggest productivity boosters in modern software development: automated testing. Abe Gong and James Campbell discuss the concept of pipeline tests and offer an overview of Great Expectations, an open source Python framework for bringing data pipelines and products under test. Read more.