Graph Data Modeling :
Concept and Practice
Today, many businesses are flooded with data and the size of data is not the only thing that tortures us: highly complex relationships across the data.
It is why graph database was developed — to handle these highly connected data — and for this purpose graph database uses ‘graph data model’ which very closely and intuitively reflects the real world situation.
Graph data model which this paper is going to introduce is a very simple, but powerful modern technology to revolutionize your businesses.
Graph data model is an eminently intuitive and highly efficient data model for highly connected data and here we introduce the basic concepts and examples about how to model your real world data into a graph model.
With illustrations along building a graph data model for a flight network and with Cypher queries for AgensGraph DB, this paper helps you understand core concepts and issues for implementing your data into a graph model.