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

Querying Graph

In the previous chapter, we loaded the data into Graph. Now, it’s time to look into how we can query the graph using Cypher. We will take a look at the graph data model and how to leverage it to build effective queries and understand what works and what doesn’t work. By the end of the chapter, you will have learned how to build Cypher queries and understand what is required to build performant queries.

In this chapter, we will cover the following topics:

  • Exploring the data in Graph
  • Querying the nodes
  • Querying the paths

Before we start with queries, let’s explore the graph first.