Packt+ | Advance your knowledge in tech

0

Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

Learning Neo4j 3.x

You're reading from Learning Neo4j 3.x Effective data modeling, performance tuning and data visualization techniques in Neo4j

Product type Paperback

Published in Oct 2017

Publisher Packt

ISBN-13 9781786466143

Length 316 pages

Edition 2nd Edition

Languages

Java

Tools

Neo4j

Concepts

Data Visualization

Authors (2):

Jerome Baton

Rik Van Bruggen

View More author details

Table of Contents (17) Chapters

Preface

1. Graph Theory and Databases FREE CHAPTER

2. Getting Started with Neo4j

3. Modeling Data for Neo4j

4. Getting Started with Cypher

5. Awesome Procedures on Cypher - APOC

6. Extending Cypher

7. Query Performance Tuning

8. Importing Data into Neo4j

9. Going Spatial

10. Security

11. Visualizations for Neo4j

12. Data Refactoring with Neo4j

13. Clustering

14. Use Case Example - Recommendations

15. Use Case Example - Impact Analysis and Simulation

16. Tips and Tricks

Key concepts and characteristics of Neo4j

Before we dive into the details of Neo4j, let's take a look at some of the key characteristics of Neo4j as a graph database management system, specifically. Hopefully, this will immediately point out and help you get to grips with some of the key strengths as well.

Built for graphs from the ground up

Like many open source projects and open source NoSQL database management systems, Neo4j came into existence for very specific reasons. Scratching the itch, as this is sometimes called. Grassroots developers who want to solve a problem and are struggling to do so with traditional technology stacks decide to take a radical, new-found approach. That's what the Neo4j founders did early in the 21st century--they built something to solve a problem for a particular media company in order to better manage media assets.

In the early days, Neo4j was not a full-on graph database management system; it was more like a graph library that people could use in their code...

The rest of the chapter is locked

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at $19.99/month. Cancel anytime

Authors (2)

Van Bruggen

Van Bruggen

Rik Van Bruggen is the VP of Sales for Neo Technology for Benelux, UK, and the Nordic region. He has been working for startup companies for most of his career, including eCom Interactive Expertise, SilverStream Software, Imprivata, and Courion. While he has an interest in technology, his real passion is business and how to make technology work for a business. He lives in Antwerp, Belgium, with his wife and three lovely kids, and enjoys technology, orienteering, jogging, and Belgian beer.

See other products by Van Bruggen

Jerome Baton

Jerome Baton

Jérôme Baton started hacking computers at the age of skin problems, gaming first then continued his trip by self-learning Basic on Amstrad CPC, peaking on coding a full screen horizontal starfield, and messing the interlace of the video controller so that sprites appeared twice as high in horizontal beat'em up games. Disks were three inches for 178 Kb then. Then, for gaming reasons, he switched to Commodore Amiga and its fantastic AMOS Basic. Later caught by seriousness and studies, he wrote Turbo Pascal, C, COBOL, Visual C++, and Java on PCs and mainframes at university, and even Logo in high school. Then, Java happened and he became a consultant, mostly on backend code of websites in many different businesses. Jérôme authored several articles in French on Neo4j, JBoss Forge, an Arduino workshop for Devoxx4Kids, and reviewed kilos of books on Android. He has a weakness for wordplay, puns, spoonerisms, and Neo4j that relieves him from join(t) pains. Jérôme also has the joy to teach in French universities, currently at I.U.T de Paris, Université Paris V - René Descartes (Neo4j, Android), and Université de Troyes (Neo4j), where he does his best to enterTRain the students. When not programming, Jérôme enjoys photography, doing electronics, everything DIY, understanding how things work, trying to be clever or funny on Twitter, and spends a lot of time trying to understand his kids and life in general.

See other products by Jerome Baton

Other recommended products

Related to this chapter

Hands-On Graph Analytics with Neo4j

Hands-On Graph Analytics with Neo4j

To start with you will cover the basics of graph analytics, Cypher querying language, components of graph architecture, and more. You will implement Neo4j techniques to understand various graph analytics methods to reveal complex relationships in data. You will understand how machine learning can be used to perform smarter graph analytics.

Aug 2020 17h 0m

Hands-On Graph Analytics with Neo4j

Hands-On Graph Analytics with Neo4j

To start with you will cover the basics of graph analytics, Cypher querying language, components of graph architecture, and more. You will implement Neo4j techniques to understand various graph analytics methods to reveal complex relationships in data. You will understand how machine learning can be used to perform smarter graph analytics.

Aug 2020 17h 0m

Hands-On Graph Analytics with Neo4j

Hands-On Graph Analytics with Neo4j

To start with you will cover the basics of graph analytics, Cypher querying language, components of graph architecture, and more. You will implement Neo4j techniques to understand various graph analytics methods to reveal complex relationships in data. You will understand how machine learning can be used to perform smarter graph analytics.

Aug 2020 17h 0m

Hands-On Graph Analytics with Neo4j

Hands-On Graph Analytics with Neo4j

To start with you will cover the basics of graph analytics, Cypher querying language, components of graph architecture, and more. You will implement Neo4j techniques to understand various graph analytics methods to reveal complex relationships in data. You will understand how machine learning can be used to perform smarter graph analytics.

Aug 2020 17h 0m

Hands-On Graph Analytics with Neo4j

Hands-On Graph Analytics with Neo4j

To start with you will cover the basics of graph analytics, Cypher querying language, components of graph architecture, and more. You will implement Neo4j techniques to understand various graph analytics methods to reveal complex relationships in data. You will understand how machine learning can be used to perform smarter graph analytics.

Aug 2020 17h 0m

Hands-On Graph Analytics with Neo4j

Hands-On Graph Analytics with Neo4j

To start with you will cover the basics of graph analytics, Cypher querying language, components of graph architecture, and more. You will implement Neo4j techniques to understand various graph analytics methods to reveal complex relationships in data. You will understand how machine learning can be used to perform smarter graph analytics.

Aug 2020 17h 0m

Hands-On Graph Analytics with Neo4j

Hands-On Graph Analytics with Neo4j

To start with you will cover the basics of graph analytics, Cypher querying language, components of graph architecture, and more. You will implement Neo4j techniques to understand various graph analytics methods to reveal complex relationships in data. You will understand how machine learning can be used to perform smarter graph analytics.

Aug 2020 17h 0m

Hands-On Graph Analytics with Neo4j

Hands-On Graph Analytics with Neo4j

To start with you will cover the basics of graph analytics, Cypher querying language, components of graph architecture, and more. You will implement Neo4j techniques to understand various graph analytics methods to reveal complex relationships in data. You will understand how machine learning can be used to perform smarter graph analytics.

Aug 2020 17h 0m

Hands-On Graph Analytics with Neo4j

Hands-On Graph Analytics with Neo4j

To start with you will cover the basics of graph analytics, Cypher querying language, components of graph architecture, and more. You will implement Neo4j techniques to understand various graph analytics methods to reveal complex relationships in data. You will understand how machine learning can be used to perform smarter graph analytics.

Aug 2020 17h 0m

Seven NoSQL Databases in a Week

Seven NoSQL Databases in a Week

This book will help you understand the fundamentals of seven of the most popular NoSQL databases. You will see how the functionalities of each of them differ, while still giving you the same result - a database solution with speed, high performance, and accuracy.

Mar 2018 10h 16m

Seven NoSQL Databases in a Week

Seven NoSQL Databases in a Week

This book will help you understand the fundamentals of seven of the most popular NoSQL databases. You will see how the functionalities of each of them differ, while still giving you the same result - a database solution with speed, high performance, and accuracy.

Mar 2018 10h 16m

Seven NoSQL Databases in a Week

Seven NoSQL Databases in a Week

This book will help you understand the fundamentals of seven of the most popular NoSQL databases. You will see how the functionalities of each of them differ, while still giving you the same result - a database solution with speed, high performance, and accuracy.

Mar 2018 10h 16m

Personalised recommendations for you

Based on your interests and search pattern

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m