Unleash the power of your meta-data: graph databases

Presentation Summary

Chris Frederick, University of Notre Dame

Many applications handle data that is deeply associative, i.e. structured as graphs. Meta-data management systems are a text book example of this as they deal with strongly linked data. These types of recursive data structures in a traditional RDBMS are difficult to deal with as in essence, each traversal along a link in a graph is a join, and joins are known to be very expensive. This presentation will demonstrate the Neo4j powered graph database behind ND's meta-data driven BI Portal.

Presentation Speaker(s)

Chris Federick

Presentation Files

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