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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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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 FREE CHAPTER 2. Modeling Flights and Cities 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

Summary

In this chapter, we discussed that graph databases are structures that help represent data as nodes, relationships, and properties; relationships explicitly specify and qualify the connection between two entities; labels add semantic meaning to nodes and allow for addition of indices and constraints; properties add more information to the nodes and relationships. We saw a few use cases in which graphs are used currently.

From the next chapter onward, we will delve into designing a data model and use actual Cypher queries to feed it into Neo4j. The queries used in this book are compatible with Neo4j 2.2.3. They have also been tested with Neo4j 2.3.0-M02.

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