If you are a fan of Dark Netflix Series, here is a graph database for fun

If you are a fan of Dark Netflix Series, here is a graph database for fun

If you are a fan of Dark Netflix Series, here is a graph database for fun. Graph analysis : this is where the real fun is, now you can perform queries and see how these characters are related to each other, in which timeline they have traveled, and see a brief description of their activity in that timeline by cypher queries which are here.

Dark series is one of the thriller, sci-fi series which has time travel to make things more complex than they were. Each character is related to others through time travel which makes the relationship between them too complex and graph databases are perfect use cases to reveal the insight of such connected data and believe me it's fun to work on such complex data and relations.

So let’s begin from the beginning Prerequisite: Install the [neo4j desktop app], create a local graph, and get ready for next. Graph modeling: This is the core of graph database where we design the schema which tells the relation between different nodes forming the relationship to carry out business logic, the simpler the schema, simpler is graph queries.** But the most complex thing is to make things simpler. **

database neo4j dark netflix series graph database

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