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Learning Neo4j

You're reading from   Learning Neo4j Run blazingly fast queries on complex graph datasets with the power of the Neo4j graph database

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Product type Paperback
Published in Aug 2014
Publisher
ISBN-13 9781849517164
Length 222 pages
Edition 1st Edition
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Author (1):
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 Van Bruggen Van Bruggen
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Van Bruggen
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Table of Contents (18) Chapters Close

Learning Neo4j
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Graphs and Graph Theory – an Introduction FREE CHAPTER 2. Graph Databases – Overview 3. Getting Started with Neo4j 4. Modeling Data for Neo4j 5. Importing Data into Neo4j 6. Use Case Example – Recommendations 7. Use Case Example – Impact Analysis and Simulation 8. Visualizations for Neo4j 9. Other Tools Related to Neo4j Where to Find More Information Related to Neo4j Getting Started with Cypher Index

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, for example, applying a fan-out pattern to your data

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