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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

Summary


In this chapter, we saw how to import data from different kinds of sources into our graph and saw which one is preferable. We know we can do funny and interesting things like importing the 1€ cafés dataset and a dataset of free wifi credentials.

More seriously, we know how to import datasets and how to combine them. It is up to you to find the datasets of your interest. This can really open the doors of perception of the world when you import data and then look at your graph.

Imagine you can combine statistics of crime rates, poverty, alcohol sales, and education levels.

We will now get back to Earth and deal with geolocalized data in the next chapter, Chapter 9, Going Spatial.

 

 

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