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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 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

Closing remarks on visualizations - pitfalls and issues


It should be clear by now that once we have our data models in a Graph Database Management System like Neo4j, one of the great potential use cases for that system is tightly coupled with visualization capabilities. It is amazing what we can learn from visualizations, but we do want to point out two caveats that you should always keep in mind as you engage in a visualization project.

The fireworks effect

While graph visualizations usually have a very positive effect on their users, we--as IT people that are provided this as an interface to interact with data--must also be aware of the fact that these visualizations can be a bit too much sometimes.

We call this the fireworks effect, and while by no means specific to graph visualizations, it is an important thing to be aware of. The purpose of visualization can never be to attract oohs and aahs--that's what fireworks are supposed to do for the crowds of spectators that they attract.

Contrarily...

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