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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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Part 1: Cypher Introduction
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Part 2: Working with Cypher
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Chapter 4: Querying Graph
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Chapter 6: List Expressions, UNION, and Subqueries
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Part 3: Advanced Cypher Concepts
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Chapter 7: Working with Lists and Maps
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Chapter 9: Query Tuning
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Index
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Part 1: Cypher Introduction

This part introduces you to Neo4j and the origins of Cypher. By the end of this part, you will be able to set up a Neo4j database and understand how Cypher is used to interact with the Neo4j database. It also introduces the core concepts of Cypher and graph databases.

This section comprises the following chapters:

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