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Learning Neo4j 3.x

You're reading from   Learning Neo4j 3.x Effective data modeling, performance tuning and data visualization techniques in Neo4j

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Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781786466143
Length 316 pages
Edition 2nd Edition
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Authors (2):
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Jerome Baton Jerome Baton
Author Profile Icon Jerome Baton
Jerome Baton
Rik Van Bruggen Rik Van Bruggen
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Rik Van Bruggen
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Toc

Table of Contents (17) Chapters Close

Preface 1. Graph Theory and Databases FREE CHAPTER 2. Getting Started with Neo4j 3. Modeling Data for Neo4j 4. Getting Started with Cypher 5. Awesome Procedures on Cypher - APOC 6. Extending Cypher 7. Query Performance Tuning 8. Importing Data into Neo4j 9. Going Spatial 10. Security 11. Visualizations for Neo4j 12. Data Refactoring with Neo4j 13. Clustering 14. Use Case Example - Recommendations 15. Use Case Example - Impact Analysis and Simulation 16. Tips and Tricks

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 relational model side by side:


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...
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