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

Product typeBook
Published inAug 2020
PublisherPackt
ISBN-139781839212611
Edition1st Edition
Tools
Neo4j
Concepts
Database Programming
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Author (1)
Estelle Scifo
Estelle Scifo
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Estelle Scifo

Estelle Scifo possesses over 7 years experience as a data scientist, after receiving her PhD from the Laboratoire de lAcclrateur Linaire, Orsay (affiliated to CERN in Geneva). As a Neo4j certified professional, she uses graph databases on a daily basis and takes full advantage of its features to build efficient machine learning models out of this data. In addition, she is also a data science mentor to guide newcomers into the field. Her domain expertise and deep insight into the perspective of the beginners needs make her an excellent teacher.
Read more about Estelle Scifo

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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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Hands-On Graph Analytics with Neo4j
Published in: Aug 2020Publisher: PacktISBN-13: 9781839212611
© 2020 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Estelle Scifo

Estelle Scifo possesses over 7 years experience as a data scientist, after receiving her PhD from the Laboratoire de lAcclrateur Linaire, Orsay (affiliated to CERN in Geneva). As a Neo4j certified professional, she uses graph databases on a daily basis and takes full advantage of its features to build efficient machine learning models out of this data. In addition, she is also a data science mentor to guide newcomers into the field. Her domain expertise and deep insight into the perspective of the beginners needs make her an excellent teacher.
Read more about Estelle Scifo

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