Pros & Cons
Pros
The first two chapters introduce graph databases and compare their modeling approach with relational and nosql modeling. Chapter 5 serves to illustrate more complex cypher queries. The final chapter contains a pretty detailed illustration of dijkstra'... Read More
Cons
This is the second o'reilly book i have tried and again i am disappointed that the mystical animal design misleads you into believing that the book has thoroughness and depth of a biological organism. They talk about the relationship between graph dat... Read More
Overview
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Helpful InsightsBETA
Posted by a reviewer on Amazon
It then goes on to describe the pros and cons of running graph databases as a standalone server of embedded in your application and clusteringrelated issues in neo4j
Posted by a reviewer on Amazon
Chapter 5 describes 3 realworld use cases where graph databases might be employed and shows cypher queries that can be used in those scenarios
Posted by a reviewer on Amazon
The final chapter contains a pretty detailed illustration of dijkstras algorithm for calculating the shortest path between a source and destination node in a weighted graph and also barely sketches the concept of informed search as a way of optimizing the search with the aid of additional information beyond graph edge weights
Posted by a reviewer on Amazon
It concludes with concepts from predictive modeling where the existence of unknown relationships between entities in a social graph can be predicted on the basis of existing known relationships
Posted by a reviewer on Amazon
The assumption that any tech book is for tech professional is proper and any tech professional would understand all the material provided in this book