Neo4j Live: Graph Data Processing with Cypher
Chapters 12
- Play from Intro
- Play from Why was the book written?
- Play from For whom was it written
- Play from In-depth look at the book - Chapter 3: Data Modelling
- Play from Chapter 4 & 5: Cypher Queries
- Play from Chapter 6: List Expressions
- Play from Advanced Cyhper Concepts - Chapter 7-9
- Play from Chapter 10: APOC
- Play from Chapter 11: Ecosystem
- Play from Chapter 12: Tips & Tricks
- Play from Q&A
- Play from Wrap-Up
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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