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Neo4j Cookbook

You're reading from Neo4j Cookbook Harness the power of Neo4j to perform complex data analysis over the course of 75 easy-to-follow recipes

Product type Paperback

Published in May 2015

Publisher

ISBN-13 9781783287253

Length 226 pages

Edition 1st Edition

Languages

Java

Tools

Neo4j

Concepts

Database Administration

Author (1):

Ankur Goel

View More author details

Table of Contents (12) Chapters

Preface

1. Getting Started with Neo4j FREE CHAPTER

2. Connecting to Neo4j

3. The Cypher Query Language

4. Data Modeling and Leveraging with Neo4j

5. Mining the Social Treasure

6. Developing Location-based Services with Neo4j

7. Visualization of Graphs

8. Industry Usages of Neo4j

9. Neo4j Administration and Maintenance

10. Scaling Neo4j

Index

Installing the Neo4j Spatial extension

Neo4j Spatial is a library of utilities for Neo4j that facilitates the enabling of spatial operations on the data. Even on the existing data, geospatial indexes can be added and many geospatial operations can be performed on it.

In this recipe, you will learn how to install the Neo4j Spatial extension.

Getting ready

The following steps will get you started with this recipe:

Install the Neo4j graph database using the recipes from Chapter 1, Getting Started with Neo4j. This installation process will depend on your preference for your machine OS type.
Install the dependencies listed in the pom.xml file for this project from https://github.com/neo4j-contrib/spatial/blob/master/pom.xml.
Install Maven using the following command for your operating system:
- For Debian systems:
```
apt-get install maven
```
- For Red Hat Linux/CentOS systems:
```
yum install apache-maven
```
- To install on a Windows-based system, please refer to https://maven.apache.org/guides/getting-started/windows...

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Authors (1)

Ankur Goel

Ankur Goel

Ankur Goel has been passionate about software development for a long time. He is particularly interested in exploring upcoming technologies in the areas of big data, artificial intelligence, and machine learning. He started his career with CDAC High Performance Computing Lab, where he worked on the PARAM series of supercomputers and built real-world use cases around them. He has been working for start-up companies and research labs for most of his career. He also enjoys working with start-ups that are in the stealth mode stage, and helps them with their technology stack. He lives in the beautiful city of Chandigarh, India, with his pretty wife and cute newborn daughter.

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