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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

Business Intelligence tools


Because Neo4j as a graph database management system provides many advantages when interacting with inherently networked and interconnected data structures, many traditional data analysis tools can benefit greatly from leveraging its query power. There is, most notably, an entire category of tools out there that are a prime candidate for doing so: the so-called Business Intelligence tools. Tools in this space include (but are certainly not limited to):

  • IBM Cognos

  • SAP Business Objects

  • Pentaho

  • Jaspersoft

  • Qlikview

We will zoom into one of these tools in the following paragraphs, but would first like to clarify the mechanism through which these tools can interface with Neo4j. Of course, they could integrate by calling the raw Neo4j REST API and submittin specific requests this way, and would get responses in the rawest possible format. This type of integration would most likely require quite a bit of integration work, but could be advised in certain more advanced use cases...

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