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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 2. Getting Started with Neo4j FREE CHAPTER 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

Graph Theory and Databases

People have different ways of learning new topics. We know that background information can contribute greatly to a better understanding of new topics. That is why, in this chapter of our Learning Neo4j 3.x book, we will start with a bit of background information, not to recount the tales of history, but to give you the necessary context that can lead to a better understanding of the topics.

In order to do so, we will address the following topics:

  • Graphs: What they are and where they came from. This section will aim to set the record straight on what, exactly, our subject will contain, and what it won't.
  • Graph theory: What it is and what it is used for. This section will give you quite a few examples of graph theory applications, and it will also start hinting at applications for graph databases, such as Neo4j later on.
  • Databases: What the different kinds of databases and what they are used for. This section will help you to know what the right database for your projects.

So, let's dig right in.

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