O'Reilly Graph Databases

Discover how graph databases can help you manage and query highly connected data.

With this practical book, you’ll learn how to design and implement a graph database that brings the power of graphs to bear on a broad range of problem domains. Whether you want to speed up your response to user queries or build a database that can adapt as your business evolves, this book shows you how to apply the schema-free graph model to real-world problems.

This second edition includes new code samples and diagrams, using the latest Neo4j syntax, as well as information on new functionality. Learn how different organizations are using graph databases to outperform their competitors. With this book’s data modeling, query, and code examples, you’ll quickly be able to implement your own solution.

Graph Databases is written by Ian Robinson, Jim Webber, and Emil Eifrém, graph experts and enthusiasts at Neo4j, Inc., creators of Neo4j, the world’s leading graph database.

Table of Contents

• 1. Introduction

  What is a Graph?

  A High-Level View of the Graph Space

  The Power of Graph Databases

• 2. Options for Storing Connected Data

  Relational Databases Lack Relationships

  NOSQL Databases Also Lack Relationships

  Graph Databases Embrace Relationships

• 3. Data Modeling with Graphs

  Models and Graphs

  The Property Graph Model

  Querying Graph: Introduction to Cypher

  Comparison of Relational and Graph Modeling

  Cross-Domain Models

  Common Modeling Pitfalls

  Avoiding Anti-Patterns

• 4. Building a Graph Database Application

  Data Modeling

  Application Architecture

  Testing

  Capacity Planning

• 5. Graphs in the Real World

  Why Organizations Choose Graph Databases

  Common Use Cases

  Real-World Examples

• 6. Graph Database Internals

  Native Graph Processing

  Native Graph Storage

  Programmatic APIs

  Nonfunctional Characteristics

• 7. Predictive Analysis with Graph Theory

  Depth- and Breadth- First Search

  Path-Finding with Dijkstra’s Algorithm

  The A* Algorithm

  Graph Theory and Predictive Modeling

  Local Bridges

This official released version of Graph Databases, published by O’Reilly Media, is compliments of Neo4j.

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