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You're reading from  Graph Data Processing with Cypher

Product typeBook
Published inDec 2022
PublisherPackt
ISBN-139781804611074
Edition1st Edition
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Author (1)
Ravindranatha Anthapu
Ravindranatha Anthapu
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Ravindranatha Anthapu

Ravindranatha Anthapu has more than 25 years of experience in working with W3C standards or building cutting-edge technologies like integrating speech with mobile applications in the 2000s. He is a technology enthusiast who worked from operating system device drivers to writing compilers for C language to modern web technologies, transitioning seamlessly and bringing experience from each of these domains and technologies to deliver successful solutions today. As a Principal Consultant at Neo4j today, Ravindranatha works with large enterprise customers to make sure they are able to leverage graph technologies effectively across various domains.
Read more about Ravindranatha Anthapu

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Exploring the data in Graph

Once we load the data into the graph, as we learned about in the previous chapter, when we go to the database in the browser, it shows basic details such as the node labels in the database, the relationship types available, the total node count, and the total count of relationships, along with the property names that exist in the database.

The following screenshot shows these details:

Figure 4.1 – Graph data counts in the database

We can see the node-related details on the top left-hand side of the screen, and below it, we can see the relationship details. All of these are selectable items and when you click on them, a Cypher query runs against the database to show a sample related to the name you clicked. For instance, if you click on the node label, 25 nodes of those types are shown. The same applies to the relationship types shown.

We can get the database statistics by executing the Cypher query:

CALL apoc.meta...
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Graph Data Processing with Cypher
Published in: Dec 2022Publisher: PacktISBN-13: 9781804611074

Author (1)

author image
Ravindranatha Anthapu

Ravindranatha Anthapu has more than 25 years of experience in working with W3C standards or building cutting-edge technologies like integrating speech with mobile applications in the 2000s. He is a technology enthusiast who worked from operating system device drivers to writing compilers for C language to modern web technologies, transitioning seamlessly and bringing experience from each of these domains and technologies to deliver successful solutions today. As a Principal Consultant at Neo4j today, Ravindranatha works with large enterprise customers to make sure they are able to leverage graph technologies effectively across various domains.
Read more about Ravindranatha Anthapu