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Graph Data Processing with Cypher

Graph Data Processing with Cypher

By : Ravindranatha Anthapu
4.7 (10)
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Graph Data Processing with Cypher

Graph Data Processing with Cypher

4.7 (10)
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)
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1
Part 1: Cypher Introduction
4
Part 2: Working with Cypher
9
Part 3: Advanced Cypher Concepts

Introduction to Neo4j and Cypher

Neo4j is the world’s leading graph database. Its architecture is optimized to store, retrieve, and traverse graphs as nodes and relationships. It takes a property graph approach, which is beneficial for fast traversals and operations.

Neo4j uses Cypher as its query language, which makes it easy to represent traversals. Cypher is a declarative language for describing visual patterns in graphs using ASCII-art-like syntax. This makes it easy to read and comprehend how the data is connected as nodes and relationships in graphs.

In this chapter, we will cover the following topics:

  • Introducing Neo4j and graph database concepts
  • Installing the Neo4j Desktop
  • A visual tour of Neo4j Desktop
  • Using Neo4j Desktop
  • Working with local DBMSs

If you are already familiar with these basic concepts and are comfortable using Neo4j Desktop and Browser, you can skip this chapter and move on to the next ones.

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