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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
Author Profile Icon Rik Van Bruggen
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 illustrated that graph databases such as Neo4j are extremely well placed at playing a role in many enterprise architectures where impact analysis and simulation is important. There are many different fields where this may be useful, but we chose two specific domains to illustrate this use case. First, we took a look at a business process management use case, where analyzing and understanding the potential impact of a change in a network would be of primary interest to the user. Then, we took a look at an impact simulation use case, where we wanted to set up a use case in which we could iteratively simulate different impact scenarios and see what the result of those changes on the network would be, using a product hierarchy as an example to do so.

We hope we have given you a good overview of the use case and its potential.

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