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Learning Neo4j

You're reading from   Learning Neo4j Run blazingly fast queries on complex graph datasets with the power of the Neo4j graph database

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Product type Paperback
Published in Aug 2014
Publisher
ISBN-13 9781849517164
Length 222 pages
Edition 1st Edition
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Author (1):
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Rik Van Bruggen Rik Van Bruggen
Author Profile Icon Rik Van Bruggen
Rik Van Bruggen
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Table of Contents (13) Chapters Close

Preface 1. Graphs and Graph Theory – an Introduction FREE CHAPTER 2. Graph Databases – Overview 3. Getting Started with Neo4j 4. Modeling Data for Neo4j 5. Importing Data into Neo4j 6. Use Case Example – Recommendations 7. Use Case Example – Impact Analysis and Simulation 8. Visualizations for Neo4j 9. Other Tools Related to Neo4j A. Where to Find More Information Related to Neo4j B. Getting Started with Cypher Index

Graph modeling – best practices and pitfalls

In this chapter, we will give an overview of the generic recommendations and best practices for graph database modeling, and we will also provide you with some insight into common pitfalls for you to avoid. It goes without saying that all of these recommendations are generic recommendations and that there may be exceptions to these rules in your specific domains—just like this could be previously, in the case of your relational database design models.

Graph modeling best practices

In the upcoming sections, I will be sharing and discussing a number of practices that have been successfully applied in a number of Neo4j projects.

Design for query-ability

Like with any database management system, but perhaps even more so for a graph database management system such as Neo4j, your queries will drive your model. What we mean with this is that, exactly like it was with any type of database that you may have used in the past or would still be...

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