Does your data feel like a labyrinth of intricately linked points, where you’re spinning in circles instead of finding the connections? You’re likely grappling with a problem that a traditional database can’t solve. But all is not lost.
 

To find out if you’re dealing with a problem best tackled with a graph database, join us for this on-demand webinar. We’ll walk through the five telltale signs and explore how graph helps you overcome these challenges.

Sign 1: Hard-to-navigate interconnected data

  • Discover the art of unraveling complex traversals in a graph database.

Sign 2: Lack of real-time insights

  • Uncover how graph enables you to get real-time insights from your data’s relationships.

Sign 3: Inflexible data structures 

  • Learn how schema-less graph databases accommodate new and evolving data.

Sign 4: Inefficient querying

  • Get better methods for modeling and querying interconnected data. 

Sign 5: Inability to decode a web of highly connected data

  • See how you can untangle a web of data for applications like fraud detection, social networks, and recommendation engines.

Whether you're a developer writing the code, a data scientist deciphering patterns, or simply a data enthusiast eager to learn, this webinar is the first step to extracting more value from your data – so you can go from complexity to clarity.

John Stegeman
Senior Graph Database Product Specialist

John “Steggy” Stegeman is a Senior Graph Database Product Specialist with Neo4j. Prior to joining Neo4j, he held solution architect and consulting roles at Oracle, DXC, Waterline Data, and Hitachi Vantara. John is a self-avowed technology nerd who loves using technology to solve real-world enterprise challenges.

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