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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

Product type Paperback

Published in Dec 2022

Publisher Packt

ISBN-13 9781804611074

Length 332 pages

Edition 1st Edition

Languages

Cypher

Tools

Neo4j

Concepts

Data Processing

Author (1):

Ravindranatha Anthapu

View More author details

Table of Contents (18) Chapters

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

Why subscribe?

17. Other Books You May Enjoy

Technical requirements

You need a Windows, Mac, or Linux machine to be able to download and install Neo4j Desktop. Neo4j Desktop comes pre-packaged with all the required software dependencies.

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Graph Data Processing with Cypher

Published in: Dec 2022

Publisher: Packt

ISBN-13: 9781804611074

© 2022 Packt Publishing Limited All Rights Reserved

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Authors (1)

Ravindranatha Anthapu

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.

See other products by Ravindranatha Anthapu

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