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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

Test questions

Q1. The four fundamental data constructs of Neo4j are:

  1. Table, record, field, and constraint
  2. Node, relationship, property, and schema
  3. Node, relationship, property, and label
  4. Document, relationship, property, and collection

Q2. Normalization is expensive in a graph database model.

  1. True
  2. False

Q3. If you have a few entities in your dataset that have lots of relationships to other entities, then you can't use a graph database because of the dense node problem.

  1. True--you will have to use a relational system.
  2. True--but there is no alternative, so you will have to live with it.
  3. False--you can still use a graph database but it will be painfully slow for
    all queries.
  4. False--you can very effectively use a graph database, but you should take precautions, such as applying a fan-out pattern to your data.
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