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Graph Databases: New Opportunities for Connected Data
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Product details
Paperback: 238 pages
Publisher: O'Reilly Media; 2 edition (July 9, 2015)
Language: English
ISBN-10: 9781491930892
ISBN-13: 978-1491930892
ASIN: 1491930896
Product Dimensions:
7 x 0.5 x 9.2 inches
Shipping Weight: 13.6 ounces (View shipping rates and policies)
Average Customer Review:
3.3 out of 5 stars
13 customer reviews
Amazon Best Sellers Rank:
#51,065 in Books (See Top 100 in Books)
This very opinionated book and should be called Neo4j Graph Databases instead. It is written in very home driven fashion by Neo4j founders to boost their database licensing business. If you are looking to work with open source graph databases and gremlin then look elsewhere. All examples are written using Neo4j's proprietary query language Cypher. I had high expectations for this book as all O'Reilly publications but this one fell short.
Although this book is not bad, I would not choose to purchase it again, for three reasons:1) It is available as an ebook from my library.2) It is not good as a reference book. Usually I purchase books that I would like to refer back to frequently, since accessing library PDFs and e-books requires a login and they are annoying to read. This one is not useful enough as a reference book to justify more than one or two reads-through.3) The book really focuses on one type of database software. Much of the material is too general or introductory to be useful, and the rest is too specific. Thus, the high cost ($30+ for little over 100 pages) is not well justified.
The book is too shallow and is rather a collection of marketing materials rather than a technical reference and guide. The book goes on and on on how good the graph databases are compared to the relational ones without really explaining how you can achieve performance in such tasks having just the single-dimensional computer memory. The examples demonstrate primitive scenarios that are far from, say, a need to model behaviour of all companies in a national market trading different goods and services using different contracts, representatives / dealers / agents, different payment terms / banks and shipping. That actually marketing booklet avoids this question very carefully as if it was not the main challenge for national governments and economists worldwide. Weaknesses of graph databases are not mentioned at all. The book is too small for $20 Kindle edition. Having this professional deepness it should offer at least 800 pages of simple news-like reading entertainment. This is the second O'Reilly book that 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. I hope the O'Reilly men did not mean the audience by that picture as it would be a real offence. We deserve better books for that price and your nice designs on the cover won't help you anymore. Not buying a third one, but may recommend for a secondary school.
This book is mis-titled. It should be "Introduction to Graph Databases with Neo4j". The authors are all employees with Neo4j, and all of the discussion and examples use Neo4j. Even the query examples are limited to a language that is only supported by Neo4j! Yes other vendors are mentioned at the beginning but that is it, and the title implies more general coverage. Change the title to be more honest, or include examples from other products and include scripting language samples that are supported by more than one vendor (eg. SPARQL).
Solid book. Starts with good theory and builds from there. Also liked how they demonstrated graph modeling and how it compares and translates to relational modeling. I'm using Gremlin but the query concepts were easily translated.
Already has filled in many holes in my understanding. Written with great clarity for newbies like myself coming from corporate RDBMS backgrounds.
Strong Graph Database Resource
I started reading the Amazon "Look Inside" for this book and I could not put it down. Purchased the kindle version, continued reading on my Kindle Fire at home, on my cloud reader at work, I am learning so much so fast I cannot believe it. I arrived at this book with about 18 years database programming experience, but had never seen anything about graph databases before. This is a totally awesome book!
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