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

The power of graph visualizations


In this section, we will spend time discussing the reasons why graph visualizations are so important, and highlight some of the underpinning technologies that are used in the different solutions that we will zoom into later on.

Why graph visualizations matter!

A picture is worth a thousand words.

There are many reasons why the graph visualizations that we will discuss in this chapter, as well as the ones that we have seen previously and will show hereafter, are really nice. For a limited number of reasons, they are more than nice: they matter greatly and can have a massive impact on decisions being made--big or small. Let's discuss these.

Interacting with data visually

From a very early age, we are taught to interact with data in a cognitive way--focused on analysis, not understanding. We are not supposed to or encouraged to look at data in a creative, fun, or interesting way that induces insight. This, however, is now changing. There's an entirely new discipline...