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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

Data integration tools


Very often, users will want to use the Neo4j Graph Database as part of a solution that uses a polyglot persistence strategy. This is a term that was first coined by Scott Leberknight, but later used and explained many times by well-known authors such as Martin Fowler. Essentially, what we are talking about here is the fact that most complex applications these days feature a number of different data patterns that are used under very different workloads and that can therefore benefit from very different implementation strategies.

Here's what a potential polyglot persistence architecture could look like for a hypothetical, or speculative, retailer:

An example of polyglot persistence

In the Speculative Retailer's Web Application featured in the preceding figure, there may be different use cases that rely on different data patterns, and that would be best implemented in different data stores.

The consequence of a strategy like polyglot persistence is, of course, that you introduce...

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