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
About the Authors
About the Reviewers
Customer Feedback

Chapter 9. Going Spatial

No, this chapter will not train you to become a cosmonaut. Sorry.

However, as you have seen so far, using a graph database is not rocket science. You cannot say it is well beyond your understanding. Enough with the puns and let's deal with this spatial aspect. First, we have to agree that Earth's shape is close to a sphere; this world is not a disc wandering through space on the back of a tortoise. So say we all? So let's start our trek toward a new frontier for our skills.

We will cover the following topics in this chapter:

  • Revise the geo concepts
  • See the geo features of Neo4j and of APOC 
  •  Neo4j spatial