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Graph Data Processing with Cypher

You're reading from   Graph Data Processing with Cypher A practical guide to building graph traversal queries using the Cypher syntax on Neo4j

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Product type Paperback
Published in Dec 2022
Publisher Packt
ISBN-13 9781804611074
Length 332 pages
Edition 1st Edition
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Author (1):
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Ravindranatha Anthapu Ravindranatha Anthapu
Author Profile Icon Ravindranatha Anthapu
Ravindranatha Anthapu
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Toc

Table of Contents (18) Chapters Close

Preface 1. Part 1: Cypher Introduction
2. Chapter 1: Introduction to Neo4j and Cypher FREE CHAPTER 3. Chapter 2: Components of Cypher 4. Part 2: Working with Cypher
5. Chapter 3: Loading Data with Cypher 6. Chapter 4: Querying Graph 7. Chapter 5: Filtering, Sorting, and Aggregations 8. Chapter 6: List Expressions, UNION, and Subqueries 9. Part 3: Advanced Cypher Concepts
10. Chapter 7: Working with Lists and Maps 11. Chapter 8: Advanced Query Patterns 12. Chapter 9: Query Tuning 13. Chapter 10: Using APOC Utilities 14. Chapter 11: Cypher Ecosystem 15. Chapter 12: Tips and Tricks 16. Index 17. Other Books You May Enjoy

Loading Data with Cypher

To load data into a graph, we need to understand how to map the source data to a graph model. In this chapter, we will discuss mapping the source data to a graph model, what decisions drive the graph model, and how to load the data into this model. In the last chapter, we looked at Cypher syntax and what queries can be used to create, update, or delete nodes, relationships, and properties. We will use these patterns to map the CSV files to a graph model as we go through each file and build Cypher queries to load this data in a transactional manner.

Neo4j is an ACID-compliant database. To load data into Neo4j, we would need to leverage transactions similar to those in an RDBMS, and Cypher is the query language we use to load the data. There are multiple options to load data into Neo4j using Cypher. They are LOAD CSV, using Neo4j client drivers, and using apoc utilities.

In this chapter, we will cover these topics:

  • Before loading the data
  • Graph...
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