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Monday, December 3 • 11:15am - 12:00pm
Using Graphs to Leverage the Natural Connectedness of Data in the World We Live In

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Recommendation engines, fraud and spam detection, knowledge graphs, bill of materials optimization, network and IT management, master data management, almost any data application area you can think of rely on understanding the connections between data points.  Graph databases are uniquely designed to value analyze data points as a community and network of connections.

This presentation will start by introducing graph database concepts and where they apply compared to traditional RDBMS’s and the core technology differences between them.  Next, we’ll outline some graph database applications with some retail marketing usage examples, such as a “ask the next best question” shopbot. The talk will finish with a quick introduction to graph algorithms for feature engineering, influence identification and scoring, data centrality and community detection, path finding, and deep learning.

avatar for Dan Flavin

Dan Flavin

Sr. System Engineer, Neo4j, Inc.
Dan is a Chicago based pre-sales engineer with an extensive experience in all things data. Over the last 10+ years, Dan has worked with clients to envision and successfully implement solutions in the Hadoop, NoSQL, Machine Learning, and Massively Parallel Database technology realms... Read More →

Monday December 3, 2018 11:15am - 12:00pm CST
(3) Discovery Hall (Floor 4) Science Museum of Minnesota, 120 W Kellogg Blvd St. Paul, MN 55102