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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
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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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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

Graphs are more than social


Often, when we talk about graph databases and their most suited use cases, people point out that social networks are a good use case for graphs. While this is true, in a way, it pigeonholes graph databases. Graph databases are versatile tools that can be used to model various domains and problems. In this book, we pick up a nonsocial example—travel, and explain how we can model data for various subsystems that would be used in a travel website using Neo4j.

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Neo4j Graph Data Modelling
Published in: Jul 2015
Publisher:
ISBN-13: 9781784393441
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