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Graph Data Processing with Cypher

Graph Data Processing with Cypher

By : Ravindranatha Anthapu
4.7 (10)
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Graph Data Processing with Cypher

Graph Data Processing with Cypher

4.7 (10)
By: Ravindranatha Anthapu

Overview of this book

While it is easy to learn and understand the Cypher declarative language for querying graph databases, it can be very difficult to master it. As graph databases are becoming more mainstream, there is a dearth of content and guidance for developers to leverage database capabilities fully. This book fills the information gap by describing graph traversal patterns in a simple and readable way. This book provides a guided tour of Cypher from understanding the syntax, building a graph data model, and loading the data into graphs to building queries and profiling the queries for best performance. It introduces APOC utilities that can augment Cypher queries to build complex queries. You’ll also be introduced to visualization tools such as Bloom to get the most out of the graph when presenting the results to the end users. After having worked through this book, you’ll have become a seasoned Cypher query developer with a good understanding of the query language and how to use it for the best performance.
Table of Contents (18 chapters)
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1
Part 1: Cypher Introduction
4
Part 2: Working with Cypher
9
Part 3: Advanced Cypher Concepts

Graph data modeling

To build a data model, you can use the Arrows.app site (https://arrows.app). The following screenshot shows an example diagram:

Figure 3.1 – Graph data model

This can be thought of as a data diagram where a set of data is drawn as a graph. It is possible to directly load the data into Neo4j with an assumed data model by skipping this part, but this approach can facilitate larger team collaboration and arrive at a better graph model. One of the aspects of this approach is to represent part of the data as a graph diagram and see how the graph traversal would work to answer our questions.

Say we have a set of questions; we can try to trace the model to see whether we can answer them:

  • How many addresses are OWNED by a person?
    • Find the person, traverse the OWNS relationship, and count the addresses
  • At which address is a person living?
    • Find the person and traverse the LIVES_AT relationship to find the required address
  • How...

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