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

Using Neo4j Workspace

Neo4j Workspace is a new tool to help developers quickly map and load the data and analyze it with visual tools such as Neo4j Browser and Bloom without needing any coding experience. It makes it easy for graph enthusiasts, explorers, and data scientists who lack coding experience or knowledge of Cypher to get started very quickly. It includes other tools such as Data Importer, which provides a UI to map CSV/TSV data to a graph model and load the data into a graph. Browser and Bloom are also included to help explore the data visually in a single place. Workspace is still in early access; users can register for access at https://neo4j.com/product/workspace/.

Now, let’s summarize what we’ve learned in this chapter.