Graph Databases

In this module, you will learn about graph databases and how to design a graph data modelThe labels, relationship types and properties chosen to represent a domain.:

• How Neo4j stores data as nodesA vertex in a graph. In a property graph it can carry labels and properties., relationshipsA named, directed connection between two nodes. Every relationship has a type, a start node and an end node., labelsA tag on a node that groups it with other nodes of the same kind. A node can carry more than one., and propertiesA named value stored on a node or a relationship..
• Where graphs are used, including recommendations, fraud detection, supply chains, and generative AIModels that produce new content rather than classifying or scoring content that already exists..
• How to build a graph data model for a use case of your own.

By the end of the module, you will have a graph data model that you will query in the next module.