Billy Jan 12, 2023

The information that Ravi has compiled is based on his own experience developing graph solutions as well as reviewing and guiding the solutions developed within the community. Having a deep understanding of graph traversals and how a graph database product like Neo4j has been implemented can help a developer new to graph solution design and implementation bridge the gap from getting their hands dirty with cypher, to actually implementing real, product quality, scalable graph solutions.

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David F. Jan 31, 2023

This book is a must-have for anyone starting out with Neo4j and the Cypher query language as well as anyone who wants to master some of the more complex concepts. Ravi's expertise and experience shine throughout the book as he presents the material in an easy-to-understand format. The real-world examples are invaluable to help show the concepts in action.The advanced section goes into more details on the internals of Neo4j. This section helps users understand how Neo4j works and how to tune the database.This book is a practical guide on writing Cypher and will be a valuable resource for years to come.

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Ashwin Jan 15, 2023

I have been working with Cypher and Neo4j for the past seven years since 2015 and have had the pleasure of knowing and working with Ravi Anthapu on a few projects. In these years what I have realized is that learning to write cypher queries is easy, but learning to write highly performant cypher queries is an art. Anyone can swing a bat and sometimes hit the base-ball, but to become an MVP baseball player one needs to hone their batting skills under the right trainer. Ravi's Graph data processing with Cypher is not just a book on learning how to write cypher, but how one can hone their skills in writing highly performant cypher.There are quite a few books that talk about cypher and how to write cypher. However few deal with the inner complexities of how the query gets executed, what should be done to optimize the query and how one should think differently when it comes to a graph as opposed to a regular Relational database. In the chapter on Filtering, Sorting and aggregations, the author shows how adding labels actually penalizes the query because of the differences in how Graph traversal works as opposed to a regular sql database where adding an index (the equivalent to a label) usually improves the performance. However in Graph traversal he demonstrates with examples on how the number of db hits increase when adding labels to nodes in the query match pattern. In a chapter 9 he specifically focuses on using the Explain and profile parameters to tune the query. He also provides examples on how to use Index hints to tune the performance of the query.Of course the best part of this book apart from writing cypher which he has done a great job, he also illustrates the use of apoc utilities and the path expander routine which is one of the most useful apoc routines to explore the neighborhoods of a node by allowing traversals on select paths.Overall the book is very practical and great not just for the person who is beginning to learn cypher, but also for people who are looking to improve the performance of the cypher queries they have written by following some of the techniques illustrated in this book.

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D. Hoy Dec 22, 2022

I had the pleasure of working with Ravi on a large, multi-year corporate project. Ravi was our SME (Subject Matter Expert) for all aspects of Neo4j from database design, to Cypher query tuning, to configuring a large cluster of servers.In this book Ravi does a great job of sharing his wealth of experience and teaching the reader the concepts of working with a graph database. I highly recommend this for anyone considering working with Neo4j or who has dabbled with Cypher and wants to take their skills to the next level.

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Matt Holford Jan 16, 2023

Wow, I wish this book had been around when I learned Cypher and graph modeling!This book provides a detailed overview of Cypher language structure and features. Its biggest strength is its focus on the data modeling concepts behind the language and how they are best leveraged to drive performance.The author begins with a succinct description of the syntactical elements that comprise the language. The examples here are well-chosen and illustrate subtle aspects and gotchas. Next we move to an extended example using synthesized medical data to illustrate more advanced concepts. This example is particularly germane because it is sufficiently complex to show the impact of different modeling/querying approaches while remaining easy to understand for non-domain experts.Effective graph modeling is use-case driven; the best model is determined by the queries it is designed to answer. At the same time, the graph approach allows for a flexible, iterative approach in building a model. By walking through the examples laid out here the reader gets a good feel for how to balance these concerns in practice.Neo4j’s various indexing capabilities are well covered, again with useful examples. These include less well known features like geolocation and text indexes. The book is copiously illustrated with screen captures showing how the elements of Neo4j work together. The reader gets a good grasp of the graph database development flow.Other highlights:Analyzing query performance in Neo4j is something of a dark art. The author lifts the veil by providing comparative examples of queries using Neo4j’s query profiling capabilities.The count store is a relatively less known Neo4j feature. It is discussed here with good examples of how to leverage it to improve performance.The chapter on APOC does a great job highlighting the most useful functions from this massive library, not shying away from the more complex functions like expandPathConfig. At the same time it provides enough general background for the reader to explore other APOC features.The final chapter (Tips & Tricks) is a goldmine of pertinent technical detail and troubleshooting advice culled from the author's extensive field experience. Particularly interesting are the schematic diagrams illustrating the binary structure of nodes and relationships in Neo4j.One minor quibble:At least in the version I read, the font used for code examples seems quite large- larger than the main text. This makes the code harder to follow because it frequently gets wrapped into the next line.Overall this is a great book which I would recommend to anyone learning about graph databases

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Graph Data Processing with Cypher: A practical guide to building graph traversal queries using the Cypher syntax on Neo4j

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