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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

Being crude with the data


This paragraph is not about swearing at a crew member of a well-known spaceship (while using a language with the name of a crew member of another spaceship). The acronym CRUD stands for Create, Read, Update, and Delete, which are the phases all data eventually goes through. This is the basis of what a database language must offer. This will give you the keys to use your own data. Let's go through the phases and discuss them BY ORDER.

Create data

Obviously, to create data, the keyword is CREATE, as we saw it earlier in our Shakespearean example:

CREATE (romeo:Person{name: "Romeo"})-[:LOVES]->(juliet:Person{name:"Juliet"})

Going from left to right in this example, a first node romeo, is created, with the labelPerson and one string property--name valued Romeo. Then, a relation LOVES is linking the first node to a second node, juliet.

A relation is always directed in Neo4j, so basically, we could create a second LOVES relation from juliet to romeo to model the story better...

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