This is the code repository for [ Graph Data Processing with Cypher](?utm_source=github&utm_medium=repository&utm_campaign=<13-P ISBN>), published by Packt.

A practical guide to building graph traversal queries using the Cypher syntax on Neo4j

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.

This book covers the following exciting features:

• 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

If you feel this book is for you, get your copy today!

All of the code is organized into folders.

The code will look like the following:

CREATE (p {name: 'Tom'})
RETURN p

Following is what you need for this book: 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.

With the following software and hardware list you can run all code files present in the book (Chapter 1-12).

• Graph Machine Learning [Packt] [Amazon]

• Hands-On Graph Analytics with Neo4j [Packt] [Amazon]

Ravindranatha Anthapu has more than 25 years of experience in working with W3C standards and building cutting-edge technologies, including integrating speech into mobile applications in the 2000s. He is a technology enthusiast who has worked on many projects, from operating system device drivers to writing compilers for C language and 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.

If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost.
Simply click on the link to claim your free PDF.

https://packt.link/free-ebook/9781804611074