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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

Tips and Tricks

We have looked at Cypher syntax, how to load data into a graph, and retrieving data and APOC in the previous chapters. In this chapter, we will discuss the best practices to get the most out of Cypher queries, including how to leverage data modeling and patterns by looking under the hood to understand how Neo4j stores data. We will also discuss the tips and tricks to identify performance bottlenecks and how to go about addressing them. We will take a look at the following topics:

Understanding the internals of Neo4j
Reviewing querying patterns
Troubleshooting a few common issues
Reviewing the new 5.0 changes

We will also take a look at a few tips and tricks for good query patterns and identifying issues and what to look out for when we are building queries.

First, we will look at understanding the internals of Neo4j.

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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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