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.

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Spis treści

Graph Data Processing with Cypher. A practical guide to building graph traversal queries using the Cypher syntax on Neo4j eBook -- spis treści

• 1. Introduction to Neo4j and Cypher
• 2. Components of Cypher
• 3. Loading Data with Cypher
• 4. Querying Graph
• 5. Filtering, Sorting, and Aggregations
• 6. List Expressions, UNION, and Subqueries
• 7. Working with Lists and Maps
• 8. Advanced Query Patterns
• 9. Query Tuning
• 10. Using APOC Utilities
• 11. Cypher Ecosystem
• 12. Tips and Tricks