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Neo4j Cookbook

You're reading from   Neo4j Cookbook Harness the power of Neo4j to perform complex data analysis over the course of 75 easy-to-follow recipes

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Product type Paperback
Published in May 2015
Publisher
ISBN-13 9781783287253
Length 226 pages
Edition 1st Edition
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Author (1):
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Ankur Goel Ankur Goel
Author Profile Icon Ankur Goel
Ankur Goel
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Table of Contents (12) Chapters Close

Preface 1. Getting Started with Neo4j 2. Connecting to Neo4j FREE CHAPTER 3. The Cypher Query Language 4. Data Modeling and Leveraging with Neo4j 5. Mining the Social Treasure 6. Developing Location-based Services with Neo4j 7. Visualization of Graphs 8. Industry Usages of Neo4j 9. Neo4j Administration and Maintenance 10. Scaling Neo4j Index

Introduction

Neo4j is a very powerful tool for storing, querying, and manipulating data. The relationship model on which the graph database structure is based gives the user the flexibility to map any domain-specific data into the Neo4j database. However, modeling data as Neo4j graphs is very different from modeling data into relational databases, such as Oracle, MySQL, and so on. These are especially useful when we have a domain that has lots of relationships.

In this chapter, we will cover various aspects of data modeling using Neo4j and how they differ from relational databases with the help of domain-specific examples. We will also learn the impact of this on flexibility, complexity, and performance.

Before trying our first recipe, let's do a recap of the basic building blocks of the Neo4j graph database.

These are the two fundamental building blocks of any Neo4j graph database:

  • Nodes: These are used to represent entities in a particular domain. Any two nodes in the graph database...
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