Uncovering Invisible Relationships with a Graph Database

In this tech talk, Kenny Bastani (Developer Evangelist, Neo4j), will demonstrate how graph databases are the key to providing richer experiences through personalized online interactions and content discovery.

45:36

There’s a hidden world of valuable data existing as invisible relationships within social networks. By ignoring the subsurface connections between seemingly unrelated content, these networks are missing out on a huge opportunity.  Developers can generate valuable graph-based recommendations by harnessing the power of a graphdb to store, manage and query the invisible relationships between people, brands, interests and more.

This tech talk was given at the Graph Database San Francisco Meetup hosted by Medium.