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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
Languages
Tools
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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

Sweet spot use cases of Neo4j


Like with many software engineering tools, Neo4j, too, has its sweet spot use cases--specific types of uses where the tool really shines and adds a lot of value to your process. Many tools can do many things, and so can Neo4j, but only a few things can be done really well by a certain tool. We have already addressed some of this in the previous chapter. However, to summarize specifically for the Neo4j database management system, I believe that there are two particular types of cases, featuring two specific types of database queries, where the tool really excels.

Complex join-intensive queries

We discussed in the previous chapter how relational database management systems suffer from significant drawbacks, as they have to deal with more and more complex data models. Asking these kinds of questions of a relational database requires the database engine to calculate the Cartesian product of the full indices on the tables involved in the query. This computation can...

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