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Graph Data Modeling
These guides and tutorials are designed to give you the tools you need to design and implement an efficient and flexible graph database technology through a good graph data model.
Best practices and tips gathered from Neo4j’s tenure of building and recommending graph technologies will provide you with the confidence to build graph-based solutions with rich data models. The focus of this section is to provide you with the necessary guidelines and tools to help you model your domain as a graph.
To start, this guide will introduce the basic process of designing a graph data model and walk you through the first steps to create a graph data model, building upon the foundations of the property graph data model.
It will help you determine the questions you need to ask and share design considerations, best practices learned from experts through the years, and tips for building a more flexible and clean data model to structure your data model for the best results.
Want to relate your existing knowledge of relational data models to the graph data model? Or do you already have a relational model you want to convert to graph? This guide will help you translate that existing ERD skill and design to a graph data model.
From typical process steps to conversion mappings, we will walk through how the process can differ and what tables and columns look like as a graph.
Finally, your data model may be working, but you find that performance or other aspects are not giving you the quality you desired. Believe it or not, your graph data model can affect queries and performance of your use case.
Learn how to improve your graph solution and maximize the capabilities of what is existing with recommendations for optimization techniques and ideas.
Looking for graph data model examples or ideas or want to share some of your own? Feel free to check out our GraphGists page, where the Neo4j community can share examples of their solutions! Based on your use case or industry, you can find some projects that could aid your design process.
Visit our GraphGists page and explore the many examples the Neo4j user community created!