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#73: Neo4j: all your data as a graph?

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Manage episode 328017916 series 2680464
Content provided by Tomasz Nurkiewicz. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tomasz Nurkiewicz or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Neo4j is a NoSQL database engine. What makes it different is the unusual data model. In Neo4j everything is modelled as a graph. A graph is a collection of nodes connected with edges. A typical example is a graph of friends on a social media website. Or a network of movies and actors. But it turns out many problems can be efficiently modelled as graphs. Like a customer having orders, each order has items. Or insurance, connected to a certain car and an accident. So what makes Neo4j special?

Read more: https://nurkiewicz.com/73

Get the new episode straight to your mailbox: https://nurkiewicz.com/newsletter

  continue reading

98 episodes

Artwork
iconShare
 
Manage episode 328017916 series 2680464
Content provided by Tomasz Nurkiewicz. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tomasz Nurkiewicz or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Neo4j is a NoSQL database engine. What makes it different is the unusual data model. In Neo4j everything is modelled as a graph. A graph is a collection of nodes connected with edges. A typical example is a graph of friends on a social media website. Or a network of movies and actors. But it turns out many problems can be efficiently modelled as graphs. Like a customer having orders, each order has items. Or insurance, connected to a certain car and an accident. So what makes Neo4j special?

Read more: https://nurkiewicz.com/73

Get the new episode straight to your mailbox: https://nurkiewicz.com/newsletter

  continue reading

98 episodes

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