Graph data visualization is critical to getting the most out of your Neo4j graphs. It empowers developers to prototype quickly and enables data scientists to follow their intuition as they explore interesting patterns and algorithm results.
Neo4j Bloom streamlines conversations and projects across teams with its illustrative, codeless search-to-storyboard design. The ideal interface for cross-team collaboration, Bloom allows non-technical project participants to share in the innovative work of their graph analytics and development teams.
In this 45-minute session, you’ll learn about Bloom and how you can start exploring your data with Jeff Gagnon, Product Manager of Neo4j Bloom at Neo4j. Join us on 13 January to find out how to:
- Uncover the value of data relationships by exploring hidden paths between nodes of interest.
- Connect entities such as people, activities, locations, and other objects in the graph.
- Illustrate context and complex results through an intuitive user interface.
Additionally, you’ll get a demo with the experts who built it as well as ample time to ask your questions!
Jeff has been working with graphs for more than a decade and has long had an interest in both explaining technical topics to non-technical audiences, as well as visualizing data in meaningful and intuitive ways.