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Hands-On Graph Analytics with Neo4j

You're reading from  Hands-On Graph Analytics with Neo4j

Product type Book
Published in Aug 2020
Publisher Packt
ISBN-13 9781839212611
Pages 510 pages
Edition 1st Edition
Languages
Author (1):
Estelle Scifo Estelle Scifo
Profile icon Estelle Scifo
Toc

Table of Contents (18) Chapters close

Preface 1. Section 1: Graph Modeling with Neo4j
2. Graph Databases 3. The Cypher Query Language 4. Empowering Your Business with Pure Cypher 5. Section 2: Graph Algorithms
6. The Graph Data Science Library and Path Finding 7. Spatial Data 8. Node Importance 9. Community Detection and Similarity Measures 10. Section 3: Machine Learning on Graphs
11. Using Graph-based Features in Machine Learning 12. Predicting Relationships 13. Graph Embedding - from Graphs to Matrices 14. Section 4: Neo4j for Production
15. Using Neo4j in Your Web Application 16. Neo4j at Scale 17. Other Books You May Enjoy

Importing data from CSV or JSON

Even if you start your business with Neo4j as a core database, it is very likely you will have to import some static data into your graph. We will also need to perform that kind of operation within this book. In this section, we detail several ways of bulk-feeding Neo4j with different tools and different input data formats.

Data import from Cypher

Cypher itself contains utilities to import data in CSV format from a local or remote file.

File location

Whether importing CSV, JSON, or another file format, this file can be located in the following places:

  • Online and reachable through a public URL: 'http://example.com/data.csv'
  • On your local disk: 'files:///data.csv'

Local file: the import folder

In the latter case, with default Neo4j configuration, the file has to be in the /imports folder. Finding this folder is straightforward with Neo4j Desktop:

  1. Click on the Manage button on the graph you are interested in.
  2. Identify the Open folder...
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