A graph database is an optimised database to store highly connected dataset. When the relationships between entities are at the core of data that you are trying to model, graph databases are a natural choice.
In modern web graph database became the part of most of the connected applications. This provides ease of creating and track relations between different entities of the business. It’s not only limited to social media applications but also different other domains e.g. Recruitment, Finance, Banking as lots more. Now let’s try to build our first graph application using the Neo4J graph database on Ubuntu 20.04 LTS 64 bit environment.
Graph is everywhere. We are surrounded by different types of graphs starting from social media, banking application, financial applications and lots more. e.g. In LinkedIn, we used to get a connection tree which shows us how we know the other people in the network, that’s nothing but an awesome application of graph.
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