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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 key attributes of Cypher

In making Cypher, Neo Technology and Andres Taylor (@andres_taylor) set out to create a new query language, specifically for dealing with graph data structures like the ones we store in Neo4j. There were a couple of reasons for doing this, more specifically four attributes that are not available together in any other query language out there.

Let's quickly examine these attributes, as they are quite important to understanding the way Cypher works in Neo4j:

  • Declarative: Cypher is a declarative query language, which is very different from the imperative alternatives out there. You declare the pattern that you are looking for. You effectively tell Cypher what you want, not how to get it. This is crucial, as imperative approaches always suppose that you—as you interact with the database—have the following qualities:
    • A programmer who knows how to tell the database what to do—probably with some procedural logic that would need to be formalized...
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