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MongoDB - The Definitive Guide 2e (Anglais) Broché – 23 mai 2013

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MongoDB: The Definitive Guide Manage the huMONGOus amount of data collected through your web application with MongoDB. This authoritative introduction - written by a core contributor to the project - shows you the many advantages of using document-oriented databases, and demonstrates how this reliable, high-performance system allows for almost infinite horizontal scalability. Full description

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Par Tonton B le 10 février 2014
Format: Broché Achat vérifié
I found exactly what I expected.
Very simple to read, a very good way to learn MongoDB.
Maybe not enough samples, but I red this book and was able to build an Web Site based on mongoDB.
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Livre accessible, bien écrit et explicite. Il permet de rentrer rapidement dans le monde de mongodb.
Je recommande se livre pour les personnes qui souhaite prendre en main Mongodb
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Amazon.com: HASH(0x9ece5738) étoiles sur 5 23 commentaires
20 internautes sur 22 ont trouvé ce commentaire utile 
HASH(0x9ee52294) étoiles sur 5 Very good book 4 août 2013
Par Amazon Customer - Publié sur Amazon.com
Format: Broché
Disclaimer: I got a free copy of this book as part of the O'Reilly Blogger Review program. The opinion here is not influenced by that.
It is only my own and honest opinion of this product.

MongoDB is one of the stars in the NoSQL market (surpassed in popularity maybe only by Cassandra) and several books are now available.
One of the most popular ones has been MongoDB: The Definitive Guide of which a 2nd edition is now available .

The 2nd edition is about twice as big as the first edition and has over 400 pages.

The book covers everything from the basics to replication, sharding, server administration and schema design.
I liked the examples chosen. They are not too complicated and as a reader I could concentrate on the MongoDB stuff and didn't have to invest a lot of time to understand the business logic of the examples (some books come up with way to complicated examples and then have a hard time explaining what's really important to the reader).

The text is easy to read and never gets boring. I like the fact that the PDF ebook has syntax highlighting in the code examples, that makes the examples easier to read.

I would have liked to see a short comparison with some other NoSQL databases like Riak or Cassandra but one can find this information online via a Google search easily.

The book is not intended as a guide to all the different drivers for different languages. But when you understand the content of the book, it shouldn't be too hard to use it from any programming language that has a decent driver for MongoDB like Scala, Java, Python or Ruby.

If you are a developer or system administrator working with MongoDB and want a comprehensive, easy to read book, I highly recommend "MongoDB: The Definitive Guide, 2nd Edition".
8 internautes sur 9 ont trouvé ce commentaire utile 
HASH(0x9ee579fc) étoiles sur 5 Great reference book covering all aspects of MongoDB for both developers and database administrators. 27 mars 2014
Par Carsten Jørgensen - Publié sur Amazon.com
Format: Broché
Book review - MongoDB: The Definitive Guide, 2nd Edition by Kristina Chodorow, O'Reilly Media

MongoDB is the only NoSql database in the top 5 most popular database management systems. I recently followed a course called MongoDB for Node.js Developers offered by MongoDB University. This is a highly recommendable course that runs regular. The course is self contained and hence I have been looking for a reference book for future use. I feel quite confident that MongoDB: The Definitive Guide is the right book for this.

The query framework for MongoDB is quite easy to learn if you have a SQL background. More advanced querying involving aggregations is slightly more complex to understand. But the book explains this topic quite well.

The main challenge for developers with a SQL background will most likely be the document design. If you are used to working with normalized data and normal forms it will seem strange to denormalize information and embed one document within another. You were most likely taught that data duplication in tables is a bad thing. Chapter 8 contains useful information and guidelines for designing documents but if you are completely new to this topic then you will probably need further information before being comfortable designing more advanced documents.

The command line interface to the database works fine. However if you prefer a GUI based management tool there are a number of options. This is one of my few complaint about this book that I does not mention any third party tools at all.

Your application is up and running but somehow there seems to be performance issues with the database. What do you do? The book goes through a number of available tools that can be useful in such scenarios covering issues like what can this particular tool do for you and examples of how you use in practice.

MongoDB was designed with scalability in mind. Replication and sharding are cornerstone aspects of a scalable application. The topics might primarily be of interests to database administrators but I would argue that good developers would want to know about these topics as well such that they can build applications that take advantages of these core MongoDB features. I really like the fact that the book covers topics for both developers and database administrators since it is my belief that the increased focus on DevOps will lead to developers more knowledgeable about database administrators tasks and vice verse.

You can find a lot of useful resources about MongoDB on the official website but if you like me prefer to have a book to learn from then I will definitely recommend that you buy a copy of this book.

I often find that books about programming languages and tools seems to claim that if you just use their specific solution then all your problems disappear. Kristina Chodorow is luckily more pragmatic. MongoDB is suited for a lot of different applications but there are limitations. I am happy to see that the author not only realizes this but also point out in which situations MongoDB might not be the best choice. I also really like the fact that this book covers topics targeting both developers and IT professionals such that all aspects of MongoDB are covering in just one book.s

I review for the O`Reilly Reader Review Program and I want to be transparent about my reviews so you should know that I received a free copy of this eBook in exchange of my review.
7 internautes sur 8 ont trouvé ce commentaire utile 
HASH(0x9f200264) étoiles sur 5 A very good companion for those to sail through the NoSQL waters 27 mai 2014
Par A. Zubarev - Publié sur Amazon.com
Format: Broché
Who working in IT today never heard of Big Data or NoSQL moniker? Barely there are few. No wonder all the publishers emit books on this topic at a high rate. But then it puzzles the consumer, what book to choose?

MongoDB: The Definitive Guide, 2nd Edition by Kristina Chodorow is my 2nd best read of year 2014. More on that later.

But why MongoDB? The answer is simple, it seems to be the most widely adopted NoSQL store. Even if you do not regularly follow technical news articles be aware that MongoDB runs and supported on many platforms, from Linux of any flavour to Windows Azure (Cloud OS), it has recently joined forces with Cloudera to grow even further, and stronger.

What actually makes MongoDB standing out of a crowd of probably 150 other NoSQL offerings? In my view this is for MongoDB having an easy to understand implementation, ease of sharding and scaling out, JSON/JavaScript powered queries familiar to Web-scale developers and it auto load-balancing.
But users need to master it. This is especially true for such rapidly being developed product. So a book like this makes perfect sense to have (note: I am not affiliated with O'Reilly).

So back to why I liked this book very much? It is due to a variety of reasons, but I list only the following three that influenced my opinion the most:

1) Reading it feels like this book becomes your technical friend, a guide or companion;
2) Even for a non-technical reader, or who is new to NoSQL data stores this book does not bring with it any steep learning curves, it submerges one into NoSQL craft gradually, and
3) Lastly, the book provides enough intricate insight into making one a MongoDB gate keeper, mature pro, or just a go-to guy.

So, what will you learn?

From basic shell commands to creating documents, from querying to performance tuning, then to replication and load balancing, recovering from peculiar situations, to finally preserving your data and ensuring integrity.

I think this is enough to succeed, indeed at 400 pagers this is a brilliant 2nd edition by Kristina Chodorow!
1 internautes sur 1 ont trouvé ce commentaire utile 
HASH(0x9f10cb10) étoiles sur 5 Refreshing to see a meaty technical book 12 février 2014
Par Pankaj Shrivastava - Publié sur Amazon.com
Format: Broché
I immediately noticed how the book is filled with great technical insights, not many books have so much matter neatly packed. The book will appeal to developers as well as administrators alike. The author explains the basics and then goes on to more complex topics. With so many books coming out on new technologies, there is a lot of "filler" pictures, sample code (with unnecessary bloats around them). This book is no non-sense and to the point. The author explains the implications of various technical decisions that you may take (like how you decide the shard key, for example) and why they work the way they do.

The MongoDB web site is full of great detailed documentation. Yet, if you are going to work with MongoDB, I recommend that you have a copy of this book.
5 internautes sur 7 ont trouvé ce commentaire utile 
HASH(0x9ec67b1c) étoiles sur 5 Clear written, loved it 24 décembre 2013
Par Lancelot - Publié sur Amazon.com
Format: Format Kindle Achat vérifié
Complete demystification of the NOSQL concept and document databases; Clear written (for those with IT background), loved it

Would recommend this for people who want to know more about how new generation databases lik NOSQL, handle unstructured big data (esp in document form, social sentiments etc)
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