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

Being crude with the data


This paragraph is not about swearing at a crew member of a well-known spaceship (while using a language with the name of a crew member of another spaceship). The acronym CRUD stands for Create, Read, Update, and Delete, which are the phases all data eventually goes through. This is the basis of what a database language must offer. This will give you the keys to use your own data. Let's go through the phases and discuss them BY ORDER.

Create data

Obviously, to create data, the keyword is CREATE, as we saw it earlier in our Shakespearean example:

CREATE (romeo:Person{name: "Romeo"})-[:LOVES]->(juliet:Person{name:"Juliet"})

Going from left to right in this example, a first node romeo, is created, with the labelPerson and one string property--name valued Romeo. Then, a relation LOVES is linking the first node to a second node, juliet.

A relation is always directed in Neo4j, so basically, we could create a second LOVES relation from juliet to romeo to model the story better...