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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

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

Why subscribe?

17. Other Books You May Enjoy

Summary

In this chapter, we have covered these aspects: basic Cypher syntax, nodes syntax, relationships syntax, data types available in Cypher, keywords available in Cypher, working with indexes, working with Constraints, and working with full-text indexes.

By now, you should be aware of the basic Cypher aspects and should be able to build basic Cypher queries.

Certain advanced aspects, such as subqueries and so on, are covered in later chapters, and built-in functions are introduced as we learn more about Cypher.

You can find the latest Cypher documentation in the Neo4j Cypher Manual (https://neo4j.com/docs/cypher-manual/current/).

You can also find a quick reference guide at https://neo4j.com/docs/cypher-refcard/current/.

In the next chapter, we will start building graph models and using Cypher to start loading data. We will be leveraging the concepts learned in this chapter to achieve that.

The rest of the chapter is locked

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Authors (1)

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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