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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

Using Neo4j in a cloud environment

In this section, we are going to address a third and alternative way of getting started with the Neo4j graph database management system--using a cloud solution. As it turns out, you can try out the power of the database solution without even having to go through the previously mentioned steps of installing the product on an operating system of your own. You can just use a graph as a service solution; there are multiple providers out there. At the time of writing this, you can use solutions from the following:

  • GrapheneDB
  • Heroku
  • GraphStory
  • GraphGrid
  • Azure
  • A roll your own solution on CleverCloud, OVH, Google Cloud Platform, OpenShift, Amazon Web Services (AWS), and so on, is possible as well
Consider a hosting provider allowing you to use Docker, so you may roll your own image. More details on Docker installation later in this chapter.

Therefore...

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