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

Summary

In this chapter, we have looked at how lists and maps are core data types in Cypher for data manipulation and processing data. We looked at creating basic lists, how they can store different data types, and how we can access data using operators and functions. Also, we looked at how maps work in Cypher and how to use them when we are returning data. We also looked at how LOAD CSV creates a map for each row to be processed. Also, we took a look at lists of maps that are provided by applications using the driver to be processed to ingest data similar to LOAD CSV.

In the next chapter, we will take a deep dive into advanced querying using WITH, FOREACH, CASE, and other Cypher clauses.