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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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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.
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Mapping the source data to graph

When we want to load the data into a graph using Cypher, we need to first map the data to the graph. When we first start mapping the data to the graph, it need not be the final data model. As we understand more and more about the data context and questions, we want to ensure the graph data model can evolve along with it.

In this section, we will work with the Synthea synthetic patient dataset. This site, Synthea – Synthetic Patient Generation (synthetichealth.github.io/synthea), provides the outlay of it. This website describes Synthea data like this:

Synthea™ is an open-source, synthetic patient generator that models the medical history of synthetic patients. Our mission is to provide high-quality, synthetic, realistic but not real, patient data and associated health records covering every aspect of healthcare. The resulting data is free from cost, privacy, and security restrictions, enabling research with Health IT data...

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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