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Neo4j Graph Data Modelling

You're reading from   Neo4j Graph Data Modelling Design efficient and flexible databases by optimizing the power of Neo4j

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Product type Paperback
Published in Jul 2015
Publisher
ISBN-13 9781784393441
Length 138 pages
Edition 1st Edition
Tools
Concepts
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Author (1):
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Mahesh K Lal Mahesh K Lal
Author Profile Icon Mahesh K Lal
Mahesh K Lal
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Toc

Table of Contents (11) Chapters Close

Preface 1. Graphs Are Everywhere 2. Modeling Flights and Cities FREE CHAPTER 3. Formulating an Itinerary 4. Modeling Bookings and Users 5. Refactoring the Data Model 6. Modeling Communication Chains 7. Modeling Access Control 8. Recommendations and Analysis of Historical Data 9. Wrapping Up Index

Chapter 2. Modeling Flights and Cities

We looked at what graphs are and what domains they might be suited for. Now, it is time to dive deeper into concepts that are related to graph databases and how we can go ahead and create our data in a graph. In this chapter, we will look at:

  • How graphs can be used outside the social context modeling flights and cities for creating an itinerary
  • Adding nodes, labels, properties, relationships, uniqueness constraints, and indices

Before we dive deep into modeling, we recommend that you download the code samples that you will need to run the examples in this chapter. The code can be downloaded from https://github.com/maheshlal2910/neo4j_graph_data_modelling.

You have been reading a chapter from
Neo4j Graph Data Modelling
Published in: Jul 2015
Publisher:
ISBN-13: 9781784393441
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