Book Image

Learning Neo4j 3.x - Second Edition

By : Jerome Baton
Book Image

Learning Neo4j 3.x - Second Edition

By: Jerome Baton

Overview of this book

Neo4j is a graph database that allows traversing huge amounts of data with ease. This book aims at quickly getting you started with the popular graph database Neo4j. Starting with a brief introduction to graph theory, this book will show you the advantages of using graph databases along with data modeling techniques for graph databases. You'll gain practical hands-on experience with commonly used and lesser known features for updating graph store with Neo4j's Cypher query language. Furthermore, you'll also learn to create awesome procedures using APOC and extend Neo4j's functionality, enabling integration, algorithmic analysis, and other advanced spatial operation capabilities on data. Through the course of the book you will come across implementation examples on the latest updates in Neo4j, such as in-graph indexes, scaling, performance improvements, visualization, data refactoring techniques, security enhancements, and much more. By the end of the book, you'll have gained the skills to design and implement modern spatial applications, from graphing data to unraveling business capabilities with the help of real-world use cases.
Table of Contents (24 chapters)
Title Page
Credits
About the Authors
Acknowledgement
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

Summary


We came in to this chapter to learn how to add strings to our bow so that we can now create our own functions and procedures, specific to our projects (and models).

We saw that functions are for small tasks, and procedures are for tasks updating the graph. We saw what custom aggregators are made of. We saw that unmanaged extensions are custom REST entry points to the Neo4j server. We saw new possibilities to put into action in our projects.

We came, we saw, we conquered, or as Caesar would say: Veni, Vidi, Vici 

(you:Reader)-[:LEARNED]->(s:Sentence {language: "latin", meaning: "I came, I saw, I overcame"}

In the next chapter, we will see if we need to improve the performance of our queries, and if so, how to do it. Get ready !