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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

How to start modeling for graph databases


In this section, we will spend some time going through what a graph database model is. Specifically, we would like to clarify a common misunderstanding that originates from our habitual relational database system knowledge.

What we know – ER diagrams and relational schemas

In a relational system, we have been taught to start out modeling with an Entity-Relationship diagram. Using these techniques, we can start from a problem/domain description (what we call a user story in today's agile development methodologies) and extract the meaningful entities and relationships. We will come back to this later, but essentially, we usually find that from such a domain description, we can:

  • Extract the entities by looking at the nouns of the description

  • Extract the properties by looking at the adjectives of the description

  • Extract the relationship by looking at the operating verbs in the description

These are, of course, generic guidelines that will need to be tried...

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