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Graph Data Processing with Cypher

You're reading from  Graph Data Processing with Cypher

Product type Book
Published in Dec 2022
Publisher Packt
ISBN-13 9781804611074
Pages 332 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Ravindranatha Anthapu Ravindranatha Anthapu
Profile icon Ravindranatha Anthapu

Table of Contents (18) Chapters

Preface 1. Part 1: Cypher Introduction
2. Chapter 1: Introduction to Neo4j and Cypher 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

Preface

Cypher is a declarative language to query graph databases. As graph databases are becoming more mainstream, there is a dearth of content and guidance for developers to leverage the database capabilities fully. This book is an attempt to fill that information gap. It is well suited to describe graph traversal patterns in a simple and readable manner. While it is easy to learn and understand, it can be very difficult to master.

This book provides a guided tour of Cypher language from understanding the syntax of the language, building a graph data model, loading the data into graphs, building queries, and profiling the queries for best performance. It introduces APOC utilities that can augment the Cypher queries to build complex queries. It also introduces visualization tools such as Bloom to get the most out of the graph when presenting the results to the end users.

By the end of this book, you should be a seasoned Cypher query developer with a good understanding of the query language and how to get the best performance out of it.

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