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Learning Neo4j

You're reading from   Learning Neo4j Run blazingly fast queries on complex graph datasets with the power of the Neo4j graph database

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Product type Paperback
Published in Aug 2014
Publisher
ISBN-13 9781849517164
Length 222 pages
Edition 1st Edition
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Author (1):
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Rik Van Bruggen Rik Van Bruggen
Author Profile Icon Rik Van Bruggen
Rik Van Bruggen
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Table of Contents (13) Chapters Close

Preface 1. Graphs and Graph Theory – an Introduction FREE CHAPTER 2. Graph Databases – Overview 3. Getting Started with Neo4j 4. Modeling Data for Neo4j 5. Importing Data into Neo4j 6. Use Case Example – Recommendations 7. Use Case Example – Impact Analysis and Simulation 8. Visualizations for Neo4j 9. Other Tools Related to Neo4j A. Where to Find More Information Related to Neo4j B. Getting Started with Cypher Index

Alternative approaches to importing data into Neo4j


The first thing everyone should understand is that in a connected world, importing data is, per definition, more difficult to do. It is a true knot that is terribly difficult to untie for many different reasons, but that does not mean that we cannot untie it!

Logically, the problem of importing connected data is technically more difficult than with unconnected data structures. Importing unconnected data (for example, the nodes of your graph model) is always easy/easier. Just dump it all in there. However, you then come to importing the connections and relationships, and you find that there's no such thing as an external entity (also known as the database schema) that will ensure the consistency and connectedness of the import. You have to do this yourself, and explicitly by importing the relationships between the following:

  • A start node that you have to find

  • An end node that you have to look up

This process is just inherently more complicated...

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