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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

Part 1: Cypher Introduction

Chapter 1: Introduction to Neo4j and Cypher

Chapter 2: Components of Cypher

Part 2: Working with Cypher

Chapter 3: Loading Data with Cypher

Chapter 4: Querying Graph

Chapter 5: Filtering, Sorting, and Aggregations

Chapter 6: List Expressions, UNION, and Subqueries

Part 3: Advanced Cypher Concepts

Chapter 7: Working with Lists and Maps

Chapter 8: Advanced Query Patterns

Chapter 9: Query Tuning

Chapter 10: Using APOC Utilities

Chapter 11: Cypher Ecosystem

Chapter 12: Tips and Tricks

Index

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Part 2: Working with Cypher

This part introduces the Cypher concepts and explores how to use Cypher to load data into a graph database and how to retrieve data using Cypher queries. By the end of this part, you will be able to use Cypher queries to load and retrieve data and you will understand the basics of the Cypher syntax and keywords.

This part comprises the following chapters:

Chapter 3, Loading Data with Cypher
Chapter 4, Querying Graph
Chapter 5, Filtering, Sorting, and Aggregations
Chapter 6, List Expressions, UNION, and Subqueries

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Graph Data Processing with Cypher

Published in: Dec 2022 Publisher: Packt ISBN-13: 9781804611074

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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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