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Neo4j Cookbook

You're reading from   Neo4j Cookbook Harness the power of Neo4j to perform complex data analysis over the course of 75 easy-to-follow recipes

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Product type Paperback
Published in May 2015
Publisher
ISBN-13 9781783287253
Length 226 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Ankur Goel Ankur Goel
Author Profile Icon Ankur Goel
Ankur Goel
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Table of Contents (12) Chapters Close

Preface 1. Getting Started with Neo4j 2. Connecting to Neo4j FREE CHAPTER 3. The Cypher Query Language 4. Data Modeling and Leveraging with Neo4j 5. Mining the Social Treasure 6. Developing Location-based Services with Neo4j 7. Visualization of Graphs 8. Industry Usages of Neo4j 9. Neo4j Administration and Maintenance 10. Scaling Neo4j Index

Aggregate versus connected data models

Data can be modeled in Neo4j using both connected and aggregated forms. The connected form has the advantage that new dimensions can be easily extracted from the same model. In comparison, the aggregate form (also can be called as MapReduce) can give us quick access to the aggregated result, which is very useful in particular. In this recipe, you will learn both data models and a third one also, which has been derived by combining both of these data models.

Getting ready

Install the Neo4j graph database on the host machine using the recipe described in Chapter 1, Getting Started with Neo4j. This installation process will depend on your preference for your machine OS type.

How to do it...

Perform the following steps to get started with this recipe:

  • In this recipe, we will use Apache log files to describe both connected and aggregated data models. A typical log file has the following structure:
    LogFormat "%h %l %u %t \"%r\" %>s %b" common...
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