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Learning Neo4j 3.x

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

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Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781786466143
Length 316 pages
Edition 2nd Edition
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Authors (2):
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Jerome Baton Jerome Baton
Author Profile Icon Jerome Baton
Jerome Baton
Rik Van Bruggen Rik Van Bruggen
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Rik Van Bruggen
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Toc

Table of Contents (17) Chapters Close

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

Importing Data into Neo4j

What is a database without data? An empty shell!

There are numerous ways to import data into a Neo4j server. We have already seen the rich GUI approach of typing it in the Neo4j browser using Cypher. Fortunately, as Neo4j is a big data categorized database, there are other ways, such as the following: 

  • Importing CSV data with LOAD CSV
  • Importing from a JSON source
  • Importing from a JDBC source
  • Importing from an XML source

Restoring a backup is also a way but we will leave that for later in the Appendix, Tips and Tricks.

Knowing how to load data will open for you the doors of all the open data that the internet has to offer. It is my opinion that there are combinations of open datasets that would prove to be the base for useful and enriching projects. My students tend to love the dataset of Parisian cafés selling a coffee for one euro, but...

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