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J**N
Good buy
Book was in great condition when I got it
L**Y
Excellent book!
This book is an excellent guide for learning about the cloud computing architectures, so in my opinion, it is a good book.
L**O
Five Stars
Excellent Book
Y**H
Cloud that's grounded
One of the better books that details cloud technology.Everything you need to know from an industry and academic standpoint. The technology listed are relevant up to 2014 (at this time of writing)
C**R
Good history, but well out of date now
The authors do a great job of describing the landscape of cloud computing in 2011. If you want to understand the forces and trends that have over the past two decades led to cloud computing, this is your book. After you read this book, you will have an excellent textbook understanding of MapReduce and you will understand the cloud computing stack (with hardware on the bottom and IaaS, PaaS, and SaaS layered on top).Six years ago this would have been a 4-star book. The topics are well organized, even if the sentence structure leaves you scratching your head a few times too many. However, the cloud computing landscape has changed rapidly, so much of what you need to understand about cloud computing today is just not there. You will learn nothing at all about devOps, containers, microservices, or stream-based big data processing (e.g., Apache Spark).Also, a good bit of the information is now just useless. For example, much ink is spilt over Microsoft Dryad, a platform that the authors predict will become a commercial success. Between the time they submitted their manuscript and the time it got printed, however, Microsoft killed the project and threw it into open-source, where it has not had any commits for years.
C**S
Unfortunately it serves as an outline for further research
Unfortunately this book is mostly an outline of many topics in distributed cloud computing. It would help you identify topics as well as good keywords for further research. I need a more narrowly focused book that covers topics more in depth. I am mostly interested with distribution of general matrix workloads such as machine learning training, image processing, and natural language such as NER or word2vec.
T**.
Page numbers please!
While I think it's unfair to give only one star. Since the search feature is so wonderful. However, I have to complain about the lack of correlation to page numbers in the physical book. Either physical books need to adopt a new way of indexing, or digital books must use page numbers from the physical book. The Kindle indexing is entirely in-human and worthless.If I am mistaken and there is a reasonable way to index and search this book please tell me I will change my rating.
L**L
Don't buy this book unless you are asked to do so
I'm taking a class "Cloud Computing" and this is the required textbook.This book is horrible.The pages ripped off after two month's normal usage.So many errors in the book even the figure numbers do not match.Structure is not clear. Some contents are repeated in multiple chapters.Some homework problems are jokes, I doubt the authors did not ever double check at all.
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