'Exploring the Neo4J Graph Database' graphdatabase neo4j
Neo4J is an interesting data paradigm where there is no table or collection of nodes. Each node represents a single entity of a neo4j database. A node is classified as an entity that can be classified as many as many labels. Neo4j is a way to recognise a node in a query is with “” and labels are used to classify a node. NeoJ is a graph database, the ware house of our data. It is not that complex, it is just simple to create nodes in a database.Databases: the warehouse of our data.
Another special thing about the Neo4j, is that we can assign many label to a node, making it polymorphic. let take an example.This query will create one node and assign it with two labels “School” and “Building”.Each node in Neo4j has properties, the same way relational database has columns. You can set the properties or leave them empty. The query below shows how to create an node with propertiesThe following nodes has two properties, “name” and “location“.
And then goes ahead to create a relationship with label “GOES_TO“. One thing to also remember is that, relationships are always directed. this brings us to the usage of “-“ and “→” in the query. I hope from the query it seems self explanatory, but if it is not, the relationship is from the student node to the school node.The graph database is an interesting data paradigm where there is no table or collection. each node is an independent entity that can be classified to as many label as you want.
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