Visualization is a critical tool in getting the most out of your Neo4j graphs, empowering developers to prototype quickly and enabling data scientists to follow their intuition as they explore interesting patterns and algorithm results.

Neo4j Bloom streamlines conversations and projects across teams. The illustrative, codeless search-to-storyboard design makes Neo4j Bloom the ideal interface for 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:

  • How to reveal the value of data relationships and identify traversal paths between interesting nodes
  • How to identify the relationships (including hidden paths) between individuals
  • How to connect people to activities, locations, and other objects
  • How to visualize the context and paths of Cypher queries

Plus, you’ll get a demo with the experts who built it, as well as ample time to ask your questions!

Anurag Tandon
Director of Product Management, Neo4j

Anurag’s mission is to help Neo4j customers get successful with our portfolio of user products and tools. Prior to Neo4j, Anurag spent two decades in big data analytics and business intelligence, while in product and customer facing roles at Zoomdata and MicroStrategy. He is keenly passionate about enabling visual experiences that allow end users to freely explore their data assets.

Anurag holds a B.Tech. from IIT Bombay and an MS from University of Maryland, both in Mechanical Engineering, and an MBA from University of Michigan. He lives in Northern Virginia and enjoys leisure time with family and friends, and wandering to new places; ideally both.

Darrell Warde
Software Engineering, GraphQ Library, Neo4j


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