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Graph Data Processing with Cypher

Graph Data Processing with Cypher

By : Ravindranatha Anthapu
4.7 (10)
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Graph Data Processing with Cypher

Graph Data Processing with Cypher

4.7 (10)
By: Ravindranatha Anthapu

Overview of this book

While it is easy to learn and understand the Cypher declarative language for querying graph databases, it can be very difficult to master it. As graph databases are becoming more mainstream, there is a dearth of content and guidance for developers to leverage database capabilities fully. This book fills the information gap by describing graph traversal patterns in a simple and readable way. This book provides a guided tour of Cypher from understanding the syntax, building a graph data model, and loading the data into graphs to building queries and profiling the queries for best performance. It introduces APOC utilities that can augment Cypher queries to build complex queries. You’ll also be introduced to visualization tools such as Bloom to get the most out of the graph when presenting the results to the end users. After having worked through this book, you’ll have become a seasoned Cypher query developer with a good understanding of the query language and how to use it for the best performance.
Table of Contents (18 chapters)
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1
Part 1: Cypher Introduction
4
Part 2: Working with Cypher
9
Part 3: Advanced Cypher Concepts

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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