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

Closing remarks on visualizations - pitfalls and issues


It should be clear by now that once we have our data models in a Graph Database Management System like Neo4j, one of the great potential use cases for that system is tightly coupled with visualization capabilities. It is amazing what we can learn from visualizations, but we do want to point out two caveats that you should always keep in mind as you engage in a visualization project.

The fireworks effect

While graph visualizations usually have a very positive effect on their users, we--as IT people that are provided this as an interface to interact with data--must also be aware of the fact that these visualizations can be a bit too much sometimes.

We call this the fireworks effect, and while by no means specific to graph visualizations, it is an important thing to be aware of. The purpose of visualization can never be to attract oohs and aahs--that's what fireworks are supposed to do for the crowds of spectators that they attract.

Contrarily...