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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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Rik Van Bruggen Rik Van Bruggen
Author Profile Icon Rik Van Bruggen
Rik Van Bruggen
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Table of Contents (13) Chapters Close

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 A. Where to Find More Information Related to Neo4j B. Getting Started with Cypher Index

The Cypher refcard

Cypher is the declarative query language for Neo4j, the world's leading graph database.

The key principles and capabilities of Cypher are as follows:

  • Cypher matches patterns of nodes and relationship in the graph, to extract information or modify the data
  • Cypher has the concept of identifiers, which denote named, bound elements and parameters
  • Cypher can create, update, and remove nodes, relationships, labels, and properties
  • Cypher manages indexes and constraints

You can try Cypher snippets live in the Neo4j Console at console.neo4j.org or read the full Cypher documentation at docs.neo4j.org. For live graph models using Cypher, check out the graph gists at gist.neo4j.org as well.

Note

{value} denotes either literals (for ad hoc Cypher queries) or parameters, which is the best practice for applications. Neo4j properties can be strings, numbers, Booleans, or arrays. Cypher also supports maps and collections.

For your convenience, we included the online version of the Cypher...

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