Dev Conference by Neo4j
Session Track: Applications
Session Time:
Session description
A knowledge graph organizes events, people, resources, and documents in a graph database for advanced analysis. This session will explain the purpose of a knowledge graph and show you the basics of how to translate a relational data model into a graph model, load the data into a graph database, and write some sample graph queries.
Associate Professor, University of Utah
Stanford Pugsley is an Associate Professor of Information Systems, Lecturer. He has worked with data teams across a variety of industries, from financial services to retail, for top data services companies including HP and PwC Consulting, as well as for several startup companies. The majority of his career has focused on data warehouse architecture and design, data engineering, and data visualization. He has significant experience with data transform and preparation for science/business analytics projects. In addition to teaching, Stanford is an independent data analytics consultant, specializing in cloud data migrations and data warehouse architecture.
