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Hands-On Graph Analytics with Neo4j

You're reading from   Hands-On Graph Analytics with Neo4j Perform graph processing and visualization techniques using connected data across your enterprise

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Product type Paperback
Published in Aug 2020
Publisher Packt
ISBN-13 9781839212611
Length 510 pages
Edition 1st Edition
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Author (1):
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 Scifo Scifo
Author Profile Icon Scifo
Scifo
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Toc

Table of Contents (18) Chapters Close

Preface 1. Section 1: Graph Modeling with Neo4j
2. Graph Databases FREE CHAPTER 3. The Cypher Query Language 4. Empowering Your Business with Pure Cypher 5. Section 2: Graph Algorithms
6. The Graph Data Science Library and Path Finding 7. Spatial Data 8. Node Importance 9. Community Detection and Similarity Measures 10. Section 3: Machine Learning on Graphs
11. Using Graph-based Features in Machine Learning 12. Predicting Relationships 13. Graph Embedding - from Graphs to Matrices 14. Section 4: Neo4j for Production
15. Using Neo4j in Your Web Application 16. Neo4j at Scale 17. Other Books You May Enjoy

Creating the databases

In Neo4j Browser, from the left panel, navigate to the Database Information tab (see the following screenshot):

There, you can choose which database will be used. While the default is neo4j, we will connect to the system database in order to be able to create new ones. Here, select System from the drop-down menu. Neo4j Browser will let you know the following:

"Queries from this point on are using the database system as the target."

Here, you can create the two databases needed for this section:

CREATE DATABASE db1;
CREATE DATABASE db2

Now, you can switch to the main entry point for our cluster: the database called fabric (again, from the left menu).

Now that we have told Neo4j that the data will be split across several clusters and that we have created these clusters, let's learn how to tell Cypher which cluster to use.

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