Book Image

Graph Data Processing with Cypher

By : Ravindranatha Anthapu
Book Image

Graph Data Processing with Cypher

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)
1
Part 1: Cypher Introduction
4
Part 2: Working with Cypher
9
Part 3: Advanced Cypher Concepts

Part 3: Advanced Cypher Concepts

This part introduces the more advanced concepts of Cypher querying. It explains how to work with lists and maps in Cypher as input as well as output along with processing them using Cypher. It also introduces the concept of querying for data that may not always exist and how to handle those scenarios. Later, it introduces APOC functions and procedures to be able to perform operations that may not be possible with core Cypher. At the end of this part, you will be able to leverage lists and maps in theory queries and also understand how to tune queries for performance.

This part comprises the following chapters: