Learning Neo4j Graph Databases

Relational Database Management Systems (RDBMSs) have been around for a few decades now, but some of their fundamental limitations around query complexity are still around. In the NOSQL landscape, graph databases like Neo4j provide a true and attractive answer to the query complexity question. By choosing a fundamentally different data model (the labeled property graph) and applying new and innovative algorithms, it lets you get to your data safely, quickly, and efficiently. Many developers dealing with tightly connected datasets will benefit from this approach, and this book aims to explain why and how that is the case.

Learning Neo4j Graph Databases provides you with a step-by-step approach of adopting Neo4j, the world's leading graph database. The book includes a lot of background information, helps you grasp the fundamental concepts behind this radical new way of dealing with connected data, and will give you lots of examples of use cases and environments where a graph database would be a great fit.

Starting with a brief introduction to graph theory, this book will show you the advantages of using graph databases. Following on from that, you will be introduced to Neo4j and you will be shown how to install Neo4j on various operating systems. You will then be shown how you can model and import your data into Neo4j.

This book has two use case examples that will show you how to model and implement relationships in Neo4J by analyzing a user case, and analyze the impact a change has on a process or a system. You will also gain an insight into graph visualization options in Neo4j and discover external sources where you can learn more about Neo4j.