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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

Building a cluster

The hardware elements that we will use are as follows:

  • Two laptops as core servers, running Linux, connected to a home WiFi network
  • Two raspberry Pi, 2 and 3, running as core servers

Read replica servers will be running as Docker containers. There will be five replicas running on my main laptop.

In a typical deployment, there are more read replicas than core servers. Of course, you can use any machine you want as long as it can connect to a network and run Neo4j. This can be more PCs, Macs, or any brand of credit card-sized computer running Linux.

Here, in a home environment, all servers are on the same network, plugged on the same router, and mostly in the same room (or not because of wifi and long cables). However, it is still relevant as an example and probably one of the cheapest options to do a cluster with hardware.

In a business environment, you may...

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