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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
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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

A graph model – a simple, high-fidelity model of reality

Let's take a quick look at how we can avoid the complexity mentioned previously in the graph world. In the following figure, you will find the graph model and the relational model side by side:

A graph model – a simple, high-fidelity model of reality

The relational model versus the graph model

On the right-hand side of the image, you will see the three tables in the relational model:

  • A customers table with a number of customer records
  • An Accounts table with a number of accounts of these customers
  • A typical join table that links customers to accounts

What is important here is the implication of this construction: every single time we want to find the accounts of a customer, we need to perform the following:

  1. Look up the customer by their key in the customer table.
  2. Join the customer using this key to their accounts.
  3. Look up the customer's accounts in the accounts table using the account keys that we found in the previous step.

Contrast this with the left-hand side of the figure, and...

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