Graph Data Processing with Cypher: A practical guide to building graph traversal queries using the Cypher syntax on Neo4j


Graph Data Processing with Cypher: A practical guide to building graph traversal queries using the Cypher syntax on Neo4j
by Ravindranatha Anthapu
Publisher Finelybook 出版社: Packt Publishing (December 16, 2022)
Language 语言: English
pages 页数: 332 pages
ISBN-10 书号: 1804611077
ISBN-13 书号: 9781804611074


Book Description
Get acquainted with Cypher in a guided manner quickly and learn how to query the graph databases with efficient and performant queries

Key Features
Work with Cypher syntax and semantics while building graph traversal queries
Get up and running with advanced Cypher concepts like List, Maps, OPTIONAL MATCH
Master best practices in writing effective queries leveraging data modeling and patterns

Book Description
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.

What you will learn
Write Cypher queries from basic to advanced level
Map the source data to the graph data model in an iterative fashion
Load the data into a graph using LOAD CSV, APOC, and client drivers
Map the business questions to graph queries effectively
Identify query performance issues and fix them
Extend capabilities of Cypher using APOC utilities
Work with graph visualization tools like Bloom and Browser

Who this book is for
This book is targeted at Database Administrator, Database Developers, Graph Database Developers, and Graph Database Architects. This book will also help someone migrate from a DBA role to a graph data engineer or data scientist
If you are working with graph databases and need to learn Cypher, or are a basic Cypher developer who wants to get better at data modeling and tuning queries to build performant Cypher queries, then this is the book for you.

Table of contents
Introduction to Neo4j and Cypher
Components of Cypher
Loading Data with Cypher
Querying Graph
Filtering, Sorting, and Aggregations
List Expressions, UNION, and Subqueries
Working with Lists and Maps
Advanced Query Patterns
Query Tuning
Using APOC Utilities
Cypher Ecosystem
Tips and Tricks

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